November 2024 arXiv papers — page 151

Rina Bao, Sheng He, Ellen Grant, Yangming Ou

Hypoxic-Ischemic Encephalopathy (HIE) affects 1 to 5 out of every 1,000 newborns, with 30% to 50% of cases resulting in adverse neurocognitive outcomes. However, these outcomes can only be reliably assessed as early as age 2. Therefore, early and accurate prediction of HIE-related neurocognitive outcomes using deep learning models is critical for improving c

Lorenzo Pucci, Tommaso Bacchielli, Andrea Giorgetti

This letter investigates target position estimation in integrated sensing and communication networks composed of multiple cooperating monostatic base stations (BSs). Each BS employs a MIMO-orthogonal time-frequency space (OTFS) scheme, enabling the coexistence of communication and sensing. A general cooperative maximum likelihood (ML) framework is derived, d

Yuri Luchko, Masahiro Yamamoto

In this paper, we deal with analysis of the initial-boundary value problems for the semilinear time-fractional diffusion equations, while the case of the linear equations was considered in the first part of the present work. These equations contain uniformly elliptic spatial differential operators of the second order and the Caputo type fractional derivative

Yoga Suhas Kuruba Manjunath, Mathew Szymanowski, Austin Wissborn, Mushu Li

Our work proposes a comprehensive solution for predicting Metaverse network traffic, addressing the growing demand for intelligent resource management in eXtended Reality (XR) services. We first introduce a state-of-the-art testbed capturing a real-world dataset of virtual reality (VR), augmented reality (AR), and mixed reality (MR) traffic, made openly avai

Xiangmin Shen, Lingzhi Wang, Zhenyuan Li, Yan Chen

Penetration testing is a critical technique for identifying security vulnerabilities, traditionally performed manually by skilled security specialists. This complex process involves gathering information about the target system, identifying entry points, exploiting the system, and reporting findings. Despite its effectiveness, manual penetration testing is t

Yoga Suhas Kuruba Manjunath, Austin Wissborn, Mathew Szymanowski, Mushu Li

In this paper, we design an exclusive Metaverse network traffic classifier, named Discern-XR, to help Internet service providers (ISP) and router manufacturers enhance the quality of Metaverse services. Leveraging segmented learning, the Frame Vector Representation (FVR) algorithm and Frame Identification Algorithm (FIA) are proposed to extract critical fram

David Chapman, Parniyan Farvardin

Deep convolutional neural networks (CNNs) are commonly analyzed through geometric and linear-algebraic perspectives, yet the statistical distribution of their internal feature activations remains poorly understood. In many applications, deep features are implicitly treated as Gaussian when modeling densities. In this work, we empirically examine this assumpt

Masaya Hiraishi, Zachary H. Roberts, Gavin G. G. King, Luke S. Trainor

Rare-earth ions are characterised by transitions with very narrow linewidths even in solid state crystals. Exceedingly long coherence times have been shown on both spin and optical transitions of rare-earth-ion doped crystals. A key factor, and generally the limitation, for such coherence times, is the effects of electronic and nuclear spins in the host crys

Lauren Grimley, Naomi Krawzik, Colin M. Lawson, Christine Uhl

We investigate deformations of skew group algebras that arise from a finite cyclic group acting on a polynomial ring in positive characteristic, where characteristic divides the order of the group. We allow deformations which deform both the group action and the vector space multiplication. We fully characterize the Poincare-Birkhoff-Witt deformations which

A. Aaliray, H. Mohammadi

Quantum state change can not occurs instantly, but the speed of quantum evolution is limited to an upper bound value, called quantum speed limit (QSL). Engineering QSL is an important task for quantum information and computation science and technologies. This paper devotes to engineering QSL and quantum correlation in simple two-qubit system suffering dephas

Dharmendra Pant, Dilpuneet S. Aidhy

Although electronic density of states (DOS) is fundamental to materials properties, its general relationship to mechanical properties of alloys is not well established. In this paper, using density functional theory (DFT) calculations, we show that the electronic occupancy at the Fermi level, N(Ef), obtained from DOS is a key descriptor of alloy strength and

Benjamin Anderson-Sackaney, Roland Vergnioux

We introduce and investigate several quantum group dynamical notions for the purpose of studying $C^*$-simplicity of discrete quantum groups via the theory of boundary actions. In particular we define a quantum analogue of Powers' Averaging Property (PAP) and a quantum analogue of strongly faithful actions. We show that our quantum PAP implies $C^*$-simplici

Kenneth L. Baker, Fabiola Manjarrez-Gutiérrez

We construct genus one knots whose handle number is only realized by Seifert surfaces of non-minimal genus. These are counterexamples to the conjecture that the Seifert genus of a knot is its Morse-Novikov genus. As the Morse-Novikov genus may be greater than the Seifert genus, we define the genus $g$ Morse-Novikov number $MN_g(L)$ as the minimum handle numb

Alper Çakan, Vipul Goyal, Justin Raizes

Is it possible to comprehensively destroy a piece of quantum information, so that nothing is left behind except the memory of whether one had it at one point? For example, various works, most recently Morimae, Poremba, and Yamakawa (TQC 2024), show how to construct a signature scheme with certified deletion where a user who deletes a signature on m cannot la

S. Samimi, Z. Ghasemi, H. Mohammadi

In this work a quantum imaging setup based on undetected squeezed photons is employed for metrological applications such as sensitive phase measurement and quantum imaging. In spite of the traditional quantum imaging with undetected photons, introduced by A. Zeilinger et. al, the proposed setup is equipped by a homodyne detection and also the brightness of t

Oluwagbemileke E. Oyefeso, Drew A. Geller, Ioannis M. Granitsas, Duncan S. Callaway

Driven by the need to offset the variability of renewable generation on the grid, development of load control is a highly active field of research. However, practical use of residential loads for grid balancing remains rare, in part due to the cost of communicating with large numbers of small loads and also the limited experimentation done so far to demonstr

Leo Benac, Abhishek Sharma, Sonali Parbhoo, Finale Doshi-Velez

We consider the problem of estimating the transition dynamics $T^*$ from near-optimal expert trajectories in the context of offline model-based reinforcement learning. We develop a novel constraint-based method, Inverse Transition Learning, that treats the limited coverage of the expert trajectories as a \emph{feature}: we use the fact that the expert is nea

Prakash Chourasia, Tamkanat E Ali, Sarwan Ali, Murray Pattersn

Federated Learning (FL) is a distributed learning technique that maintains data privacy by providing a decentralized training method for machine learning models using distributed big data. This promising Federated Learning approach has also gained popularity in bioinformatics, where the privacy of biomedical data holds immense importance, especially when pat

Yuxin Wang, Xiaomeng Zhu, Weimin Lyu, Saeed Hassanpour

Handling implicit language is essential for natural language processing systems to achieve precise text understanding and facilitate natural interactions with users. Despite its importance, the absence of a metric for accurately measuring the implicitness of language significantly constrains the depth of analysis possible in evaluating models' comprehension

Ángel Rincón, Grigoris Panotopoulos, Ilídio Lopes

We compute the quadrupolar gravitoelectric tidal Love numbers of spherical configurations made of anisotropic matter. Anisotropies are introduced within the vanishing complexity factor, while interior solutions are obtained adopting the Extended Chaplygin gas equation-of-state. A comparison with a more conventional approach is made as well.

Jan Grošelj, Hendrik Speleers

In this paper, we investigate $C^2$ super-smoothness of the full $C^1$ cubic spline space on a Powell-Sabin refined triangulation, for which a B-spline basis can be constructed. Blossoming is used to identify the $C^2$ smoothness conditions between the functionals of the dual basis. Some of these conditions can be enforced without difficulty on general trian

Saveli Goldberg, Lev Salnikov, Noor Kaiser, Tushar Srivastava

. It is typically assumed that for the successful use of machine learning algorithms, these algorithms should have a higher accuracy than a human expert. Moreover, if the average accuracy of ML algorithms is lower than that of a human expert, such algorithms should not be considered and are counter-productive. However, this is not always true. We provide str

Pooja Siwach, A. Baha Balantekin, Amol V. Patwardhan, Anna M. Suliga

In environments with prodigious numbers of neutrinos, such as core-collapse supernovae, neutron star mergers, or the early universe, neutrino-neutrino interactions are dynamically significant. They can dominate neutrino flavor evolution and force it to be nonlinear, causing collective neutrino oscillations. Such collective oscillations have been studied nume

Ilia Sokolovskii, Yunyi Luo, Gerrit Groenhof

Placing an organic material on top of a Bragg mirror can significantly enhance exciton transport. Such enhancement has been attributed to strong coupling between the evanescent Bloch surface waves (BSW) on the mirror, and the excitons in the material. In this regime, the BSW and excitons hybridize into Bloch surface wave polaritons (BSWP), new quasi-particle

Prakash Chourasia, Heramb Lonkar, Sarwan Ali, Murray Patterson

Advancements in genomics technology lead to a rising volume of viral (e.g., SARS-CoV-2) sequence data, resulting in increased usage of machine learning (ML) in bioinformatics. Traditional ML techniques require centralized data collection and processing, posing challenges in realistic healthcare scenarios. Additionally, privacy, ownership, and stringent regul

Gen Ohara, Masashi Konyo, Satoshi Tadokoro

Stereohaptic vibration is an innovative vibrotactile technology that extends the conventional tactile localization to the surrounding space, representing a virtual vibration source in the external environment. Previously, we have developed displays on the forearms and soles. Today, we present a demonstration of a new jacket-type device, which enables localiz

Seok Hun Lee, Yong Hae Heo, Seok-Han Lee, Sang-Youn Kim

We proposed a haptic dial based on magnetorheological fluid (MRF) which enhances performance by increasing the MRF-exposed area through concave shaft and housing structure. We developed a breakout-style game to show that the proposed haptic dial allows users to efficiently interact with virtual objects.

Noel Alejandro Avila Campos, Masashi Konyo, Ranulfo Bezerra, Shotaro Kojima

This study addresses the challenge of low dexterity in teleoperation tasks caused by limited sensory feedback and visual occlusion. We propose a novel approach that integrates haptic feedback into teleoperation using the adaptive triggers of a commercially available DualSense controller. By adjusting button stiffness based on the proximity of objects to the

Ryotaro Ishikawa, Taku Hachisu

One of the key challenges in the field of haptic research is designing plausible stimuli using haptic interfaces with limited degrees of freedom. Although the plausible approach, which simplifies and/or exaggerates stimuli to enhance information transfer or create an artistic effect, has proven effective, evaluations of such stimuli have traditionally relied

Jiwan Lee, Seungmoon Choi

This demo is about automatic authoring of various motion effects that are provided with audiovisual content to improve user experiences. Traditionally, motion effects have been used for simulators, e.g., flight simulators for pilots and astronauts, to present physically accurate vestibular feedback. At present, we have greatly wider use of motion effects for

Pei Hsin Lim, Kian Meng Yap

With safety measures towards the current Covid-19 pandemic, many retails clothing stores have restricted on-site fittings and shifted their business online. Inability to touch on product evaluations shows an apparent limitation as compared to retail shopping especially when the object's material information is crucial like clothing. Haptic technologies show

Mark D. Risser, Marcus M. Noack, Hengrui Luo, Ronald Pandolfi

The Gaussian process (GP) is a widely used probabilistic machine learning method with implicit uncertainty characterization for stochastic function approximation, stochastic modeling, and analyzing real-world measurements of nonlinear processes. Traditional implementations of GPs involve stationary kernels (also termed covariance functions) that limit their

Kazuya Sase, Rei Onodera, Hikaru Nagano, Masashi Konyo

We propose a data-driven pressure distribution rendering method that uses the interpolation of experimentally obtained pressure values. The pressure data were collected using a pressure sensor array. The prediction was performed using linear interpolation, assuming that the pressure distribution is dependent on pushing displacement and contact angle. Leap Mo

Seiichi Yamamoto, Hiroki Ishizuka, Sei Ikeda, Osamu Oshiro

We propose an optical tactile sensor using self-healing materials. The proposed tactile sensor consists of a structure that includes a diode, a phototransistor, and an optical waveguide made from self-healing materials. This design offers the advantage of being less susceptible to electromagnetic noise compared to traditional tactile sensors based on electri

Hikaru Kukita, Hiroyuki Kajimoto, Yem Vibol

This paper describes a system for transmitting softness and the motion of shape or contact area sensation using a vision based tactile sensor and a tactile display in which mechanical and electrical stimulation are combined. A unit of tactile sensor consists of a camera and markers, enable to detect a light touch, a pressure or a shape. On the other hand, a

Takato Ito, Takeshi Tanabe, Shoichi Hasegawa, Naoto Ienaga

In recent years, thermal feedback has emerged as a significant sensory modality in virtual reality. However, the concept of conveying the sensation of thermal movement remains largely unexplored. We propose HeatFlicker, a virtual campfire device that recreates the flickering of fire by using a thermal illusion of moving heat identified in preliminary experim

Yiqiao Bao, Anubhav Baweja, Nicolas Menand, Erik Waingarten

We introduce average-distortion sketching for metric spaces. As in (worst-case) sketching, these algorithms compress points in a metric space while approximately recovering pairwise distances. The novelty is studying average-distortion: for any fixed (yet, arbitrary) distribution $\mu$ over the metric, the sketch should not over-estimate distances, and it sh

Souta Mizuno, Jiayi Xu, Shoichi Hasegawa, Naoto Ienaga

Pain sensation presentation with movable sensory position is important to imitate the pain caused by objects in motion and the pain corresponding to a person's movements. We aimed at proposing a novel dynamic pain sensation experience, called DynaPain. DynaPain was achieved by the non-contact thermal grill illusion and the apparent movement. The demonstratio

Taiki Takami, Izumi Mizoguchi, Hiroyuki Kajimoto

We present TelEdge, a novel method of remote haptic communication using electrical stimulation through the edges of the smartphone. The aim of this study is to explore communications that can be created by adding touch sensing and haptic feedback using the electrical edge display to conventional audio-visual functionality. We conducted monitoring observation

Seungchae Kim, Mohammad Shadman Hashem, Seokhee Jeon

Haptic feedback increases the realism of virtual environments. This paper proposes a wearable haptic device that renders torque feedback to the user's wrist from any angle. The device comprises a control part and a handle part. The control part consists of three DC gear motors and a microcontroller, while the handle part securely holds the Oculus Quest 2 rig

Manato Yo, Atsushi Matsubayashi, Yasutoshi Makino, Hiroyuki Shinoda

This study implements and evaluates passive interaction using an autostereoscopic display and ultrasound haptics technology, simulating Garra rufa ("doctor fish") nibbling. When the virtual doctor fish touches the user's hand, ultrasound tactile sensations are presented by spatio-temporal modulation (STM) as an ultrasound focal point orbits around the contac

Soma Kato, Izumi Mizoguchi, Hiroyuki Kajimoto

Tracing sensation plays an important role in discriminating friction and texture of objects. We have been studying a method of presenting the tracing sensation by contacting the center of a rotating disk with the fingertip. Although this method can reduce the size and complexity of the presentation device compared to conventional methods, it has the problem

Takeru Kurokawa, Toshinobu Takei, Haruo Noma, Mitsuhito Ando

Surface inspection is a delicate process aimed at detecting fine defects, irregularities, and foreign substances at the tens of micrometers level, subsequently excluding products that do not meet the quality standards as defective. Currently, this inspection relies on the tactile senses of skilled technicians, leading to variability in the detection accuracy

Hiroyuki Kajimoto

This paper explores an approach to eliminating the surface insulating layer in electrostatic (electroadhesion) tactile displays. Electrostatic tactile displays modulate the surface friction by an electrical charge between the skin and the display. Traditionally, the non-conductive dielectric layer has been considered crucial for charge accumulation, as well

Lim Zheng Jie, Kian Meng Yap

Traditional medical training faces challenges like ethical concerns, safety risks, and high costs. VR technology offers a promising solution but is limited by low complexity and lack of tactile feedback. This paper presents a cost-effective haptic VR surgery simulation which simulates realistic Kidney Transplant using commercial devices to enhance training a

Dauda Abdu, Almustapha Abdullahi Wakili, Lawan Nasiru, Buhari Ubale

Over a decade there has been a rapid growth in Nigerian educational system particularly higher education. Various institutions have come up both from public and private sector offering many of courses both under and post graduate students. Therefore, rates of students enroll for higher educational institutions in Nigeria have also increased. Hence it is very

Keitaro Ihara, Atsuya Baba, Hiroki Ishizuka, Takefumi Hiraki

This study introduces an innovative vibrotactile display that harnesses audio speakers to convey tactile information to the fingertips while preserving the display's softness and flexibility. Our proposed system integrates a flexible polymer body with silicone rubber tubes connected to audio speakers. By streaming audio through these speakers, we induce air

Yi Rou Yap, Yun Li Lee

This paper presents a Virtual Reality (VR) art therapy known as "Break Times" which aims to enhance students' mental well-being and foster creative expression. The proposed "Break Times" application mimics the art therapy sessions in the VR environment design. Pilot user acceptance test with 10 participants showed a notable reduction in stress levels, with 5

Vibol Yem, Mattia Quartana, Zi Xin, Kazuhiro Fujitsuka

Relaxation is a critical counterbalance to the demands of modern business life. Footbaths, a simple yet highly effective therapeutic practice, have been used for centuries across various cultures to promote relaxation and overall well-being. This study presents a novel approach to simulating the experience of a public footbath through the use of tactile and

Eifu Narita, Keigo Ushiyama, Izumi Mizoguchi, Hiroyuki Kajimoto

Kinesthetic illusion can present a sense of movement without actual physical movement of the body, but it often lacks a sense of agency over the movement. Therefore, we focused on the sensation of walking induced by the kinesthetic illusion and hypothesized that incorporating coordinated arm swing movements as actual actions could enhance the sense of agency

Ahsan Raza, Seokhee Jeon, Mohammad Shadman Hashem

Our system introduces a modularized pneumatic actuating unit capable of delivering vibration, pressure, and impact feedback. Designed for adaptability, these modular tactile actuating units can be rapidly customized and reconfigured to suit a wide range of virtual reality (VR) scenarios, with a particular emphasis on safety training applications. This flexib

Yoshiki Mori, Sohta Takada, Masayuki Kajiura, Modar Suleiman Hassan

Esports offers a platform for players to engage in competitive and cooperative gaming with others remotely via the Internet. Despite these opportunities for social interaction, many players may still experience loneliness while playing online games. This study aims to enhance the social presence of partner players during online gameplay. The demonstration sy

Mu Yang, Bowen Shi, Matthew Le, Wei-Ning Hsu

This work focuses on improving Text-To-Audio (TTA) generation on zero-shot and few-shot settings (i.e. generating unseen or uncommon audio events). Inspired by the success of Retrieval-Augmented Generation (RAG) in Large Language Models, we propose Audiobox TTA-RAG, a novel retrieval-augmented TTA approach based on Audiobox, a flow-matching audio generation

Kenta Ebina, Taku Hachisu

Recent multiplayer video games (MPVGs) have increasingly incorporated social behaviors, such as gathering in the same place and facing each other, to enhance player interaction. This study aims to develop an MPVG system that facilitates social interaction through interpersonal touch between players. We present an MPVG system where two players wearing bracele

Bowen Ye, Yuki Enzaki, Hiroo Iwata

This paper presents a system that generates a magical experience with full-body motion. The system consists of a locomotion interface and a spatial immersive display. A virtual experience system named the Magical Experience Generator was developed, equipped with a Magical Experience Controller. This system provides a physical movement experience along with m

Ryoma Yamawaki, Takeru Shimamura, Noel Alejandro Avila Campos, Masashi Konyo

There is a growing demand for teleoperated robots. This paper presents a novel method for reducing vibration noise generated by robot's own motion, which can disrupt the quality of tactile feedback for teleoperated robots. Our approach focuses on perceived intensity, the amount of how humans experience vibration, to create a noise filter that aligns with hum

Uksang Yoo, Nathaniel Dennler, Sarvesh Patil, Jean Oh

Robot haircare systems could provide a controlled and personalized environment that is respectful of an individual's sensitivities and may offer a comfortable experience. We argue that because of hair and hairstyles' often unique importance in defining and expressing an individual's identity, we should approach the development of assistive robot haircare sys

Nicholas Boschert, Ethan Davis, Patrick Hiatt

We prove that if $A_1, A_2, \dots, A_n$ are tracial abelian von Neumann algebras for $2\leq n \leq \infty$ and $M = A_1 * \cdots * A_n$ is their free product, then any subalgebra $A \subset M$ of the form $A = \sum_{i=1}^n u_i A_i p_i u_i^*$, for some projections $p_i \in A_i$ and unitaries $u_i \in U(M)$, for $1 \leq i \leq n$, such that $\sum_i u_i p_i u_i

Xilai Tan, Yan Zhang, Bin Zhao, Xiaolu Nan

This paper introduces a vibrotactile belt for interpersonal synchronization of breath. It can synchronize the breathing tempo of two people by transferring breathing rhythm of one user to vibration signals of another belt, where the depth of breathing is represented by the intensity of vibration. This provides a novel way of emotional connect between people.

Almustapha A. Wakili, Lawan Nasir Alhassan, Abubakar Kamagata

The complexity of software is increasing day by day the requirement and need for a verity of softwareproducts increases, this necessitates the provision of a strong tool that will make a balance betweenproduction and quality. The practice of applying software metrics to the development process and to asoftware product is a critical task and crucial enough th

Woan Ning Lim, Edric Yi Junn Leong, Yun Li Lee, Kian Meng Yap

This paper presents an innovative pseudo-haptic model for weight simulation in virtual reality (VR) environments. By integrating visual feedback with voluntary exerted force through a passive haptic glove, the model creates haptic illusions of weight perception. Two VR cube games were developed to evaluate the model's effectiveness. The first game assesses p

Yousuf Soliman, Ulrich Pinkall, Peter Schröder

We introduce a family of boundary conditions and point constraints for conformal immersions that increase the controllability of surfaces defined as minimizers of conformal variational problems. Our free boundary conditions fix the metric on the boundary, up to a global scale, and admit a discretization compatible with discrete conformal equivalence. We also

Ghazal Asemian, Michel Kulhandjian, Mohammadreza Amini, Burak Kantarci

The vulnerability of 5G networks to jamming attacks has emerged as a significant concern. This paper contributes in two primary aspects. Firstly, it investigates the effect of a multi-jammer on 5G cell metrics, specifically throughput and goodput. The investigation is conducted within the context of a mobility model for user equipment (UE), with a focus on s

Mirai Azechi, Shogo Okamoto

Macroscopic surface shapes, such as bumps and dents, as well as microscopic surface features, like texture, can be identified solely through lateral resistive force cues when a stylus moves across them. This perceptual phenomenon has been utilized to advance tactile presentation techniques for surface tactile displays. However, the effects on shape recogniti

Mohammad Shadman Hashem, Ahsan Raza, Seokhee Jeon

Multi-mode haptic feedback is essential to achieve high realism and immersion in virtual environments. This paper proposed a novel silicone fingertip actuator integrated with a hot thermal fabric finger sleeve to render pressure, vibration, and hot thermal feedback simultaneously. The actuator is pneumatically actuated to render a realistic and effective tac

Koichi Kato, Tao Morisaki, Shun Suzuki, Yasutoshi Makino

To perceive 3D shapes such as pyramids, the perception of planes and edges as tactile sensations is an essential component. This is difficult to perceive with the conventional vibrotactile sensation used in ultrasound haptics because of its low spatial resolution. Recently, it has become possible to produce a high-resolution pressure sensation using airborne

Shun Watatani, Hikaru Nagano, Yuichi Tazaki, Yasuyoshi Yokokohji

Digital communication tools are limited to visual and auditory information and lack non-verbal information such as touch, which is important for communicating intentions and emotions. In order to solve this problem, the use of haptic technology in digital communication is attracting attention. In this study, we constructed a virtual handshake system that can

Yurina Mizuho, Yuta Sugiura

The violin is one of the most popular musical instruments, but mastering it requires a significant amount of practice time. The bowing action (pressure, position, speed) of the right hand is crucial in determining tonal quality, but this is difficult to master. This study compared the bowing movements, specifically bow pressure, bow position, and bow speed,

Asahi Kurokawa, Masaharu Shimizu, Mitsuhito Ando, Haruo Noma

We aimed to develop a tactile display that allows users to actively explore the virtual texture of a surface. We developed a tactile display embedded in an optical mouse that provides a wide range of frequency vibrations to the user's fingertip in response to its movement. We conducted an experiment to confirm the degree of fineness based on a stripe pattern

Renato Velozo Ruiz

In this paper, we obtain pointwise decay estimates in time for massive Vlasov fields on the exterior of Schwarzschild spacetime. We consider massive Vlasov fields supported on the closure of the largest domain of the mass-shell where timelike geodesics either cross $\mathcal{H}^+$, or escape to infinity. For this class of Vlasov fields, we prove that the com

Jongseok Nam, Jihyeong Ma, Nak Hyeong Lee, Ki-Uk Kyung

As interest in Virtual Reality (VR) and Augmented Reality (AR) increases, the demand for kinesthetic haptic feedback devices is rapidly rising. Motor based haptic interfaces are heavy and bulky, leading to discomfort for the user. To address this issue, haptic gloves based on electrostatic clutches that offer fast response times and a thin form factor are be

Leanne Oon Hui Yee, Siew Sui Fun, Thit Sar Zin, Zar Nie Aung

In today's high-pressure and isolated society, the demand for emotional support has surged, necessitating innovative solutions. Socially Assistive Robots (SARs) offer a technological approach to providing emotional assistance by leveraging advanced robotics, artificial intelligence, and sensor technologies. This study explores the development of an emotional

Shingo Nakaya, Yudai Hirota, Sho Sakurai, Takuya Nojima

Telekinesis is the ability to manipulate remote objects without direct physical contact. In fictional works, telekinesis users are often depicted as controlling objects with their hands and other body parts as if by will alone. Such depictions suggest that users experience a sense of agency over the object despite not physically touching it. In this study, w

Yufan Zheng, Jiaqi Leng, Yizhou Liu, Xiaodi Wu

We study computational problems related to the Schr\"odinger operator $H = -\Delta + V$ in the real space under the condition that (i) the potential function $V$ is smooth and has its value and derivative bounded within some polynomial of $n$ and (ii) $V$ only consists of $O(1)$-body interactions. We prove that (i) simulating the dynamics generated by the Sc

Victor M. Tenorio, Antonio G. Marques

Graph neural networks (GNNs) have emerged as a promising solution to deal with unstructured data, outperforming traditional deep learning architectures. However, most of the current GNN models are designed to work with a single graph, which limits their applicability in many real-world scenarios where multiple graphs may be involved. To address this limitati

Yuki Konishi, Yoshihiro Tanaka

This study aimed to develop a system that provides vibrotactile feedback corresponding to the emotional content of text when a communication robot speaks. We used OpenAI's "GPT-4o Mini" for emotion estimation, extracting valence and arousal values from the text. The amplitude and frequency of vibrotactile stimulation using sine waves were controlled on the b

Keigo Isoshima, Mitsunori Tada, Noriaki Maeda, Tsubasa Tashiro

Although the average life expectancy in Japan has been increasing in recent years, the problem of the large gap between healthy life expectancy and average life expectancy is still unresolved. Among the factors that lead to the need for nursing care, injuries due to falls account for a certain percentage of the total. In this paper, we developed boots that c

Hsin-Yi Chao, Hiroki Ishizuka

This study proposes a tactile diagram pattern for visually impaired people to recognize color information. The pattern uses the principle of three primary colors, with different patterns representing red, blue, and yellow. The size of tactile elements on these patterns indicates the proportion of the color mixing. A preliminary experiment showed that even a

Kenta Hashiura, Kazuya Iida, Takeru Hashimoto, Youichi Kamiyama

In multiplayer cooperative video games, players traditionally use individual controllers, inferring others' actions through on-screen visuals and their own movements. This indirect understanding limits truly collaborative gameplay. Research in Joint Action shows that when manipulating a single object, motor performance improves when two people operate togeth

Heeju Mun, Seunggyeom Jung, Seung Mo Jeong, David Santiago Diaz Cortes

The research aims to expand tactile feedback beyond vibrations to various modes of stimuli, such as indentation, vibration, among others. By incorporating soft material into the design of a novel tactile actuator, we can achieve multi-modality and enhance the device's wearability, which encompasses compliance, safety, and portability. The proposed tactile de

Peter Berkelman, Steven H W Kang, Sean Trafford, Muneaki Miyasaka

This paper describes a combined haptic and graphical interactive system in which a grasped handle is levitated and controlled so that its dynamic rigid-body motion and the forces and torques generated upon it match those of a tool in a real-time simulated environment, displayed on a thin screen on top of the levitation coils and underneath the levitated hand

Alex Hallett, John W. Harter

SrTiO$_{3}$ is an incipient ferroelectric and an exceptionally dilute superconductor with a dome-like dependence on carrier concentration. Stabilization of a polar phase through chemical substitution or strain significantly enhances the superconducting critical temperature, suggesting a possible connection between the polar instability and unconventional Coo

Kevin Fischler, Seungjae Oh, Seokhee Jeon

This paper presents a methodology for enhancing actuator performance in older devices or retrofitting devices with haptic feedback actuators. The approach is versatile, accommodating various actuator and mounting positions. Through a frequency sweep analysis, the system's characteristics are captured, enabling the creation of location-specific transfer funct

Aoba Sekiguchi, Tao Morisaki, Takaaki Kamigaki, Yasutoshi Makino

By presenting curved surfaces of various curvatures including edges to the fingertip, it is possible to reproduce the haptic sensation of object shapes that cannot be reproduced by flat surfaces alone, such as spheres and rectangular objects. In this paper, we propose a method of presenting curved surfaces by controlling the inclination of a disk in contact

Chonghoon Park, Qirong Zhu, Shinji Tanaka, Yasutoshi Makino

In guide dog training, trainers use haptic information transmitted through the handle of the harness worn by the guide dog to understand the dog's state. They then apply appropriate force to the handle to train the dog to make correct judgments. This tactile experience can only be felt between the dog and the trainer, making it challenging to communicate the

Sota Iwabuchi, Ryoya Onishi, Shun Suzuki, Takaaki Kamigaki

In this study, we propose a non-contact thermal presentation method using airborne ultrasound. We generate strong sound field directly on the human skin and present a perceivable temperature rise. The proposed method enables simultaneous presentation of mechanical and thermal stimuli. In preliminary experiments, we confirmed that temperature increase of 5.4

Vladimir Berman, Artem Bazhenov, Dzmitry Tsetserukou

This paper presents a novel approach to building mission planners based on neural networks with Transformer architecture and Large Language Models (LLMs). This approach demonstrates the possibility of setting a task for a mobile robot and its successful execution without the use of perception algorithms, based only on the data coming from the camera. In this

Myint Zu Than, Kian Meng Yap

Modern medicine demands innovations in medical education, particularly in the learning of human anatomy, traditionally taught through textbooks, dissections, and lectures. Virtual Reality (VR) has emerged as a promising tool to address the limitations of these conventional methods by emphasising vision-based and active learning. However, current VR education

Ryoma Akai, Masashi Konyo, Satoshi Tadokoro

We present the sense of effort through vibration to help the video viewer understand how the person in the video moves the body. We suppose sense of effort is related to force, so we generate vibration based on force and present the sense of effort through the vibration. We use perceived intensity to make sense of effort proportional to vibration. In our dem

Takaya Nida, Masamune Waga, Yuta Hamada, Masashi Konyo

In recent years, the lack of successors for traditional skills has become an issue. To solve this problem, we propose a skill transfer system that presents tactile information in spatial tasks as a color map on an AR space. We believe that providing the operator with feedback of the force and tactile information during the work is useful for learning skills

Jiayi Xu, Kazuma Nakamura, Yoshihiro Kuroda, Masahiko Inami

MoHeat is a modular hardware and software platform designed for rapid prototyping of highly responsive, non-contact thermal feedback interactions. In our previous work, we developed an intensity-adjustable, highly responsive, non-contact thermal feedback system by integrating the vortex effect and thermal radiation. In this study, we further enhanced the sys

Takumi Yamamoto, Rin Yoshimura, Yuta Sugiura

Wearable robots are designed to be worn on the human body. Taking advantage of their physical form, various applications for wearable robots are being considered. This study proposes a wearable robot worn on the abdomen and a new interaction with it. Our robot enables a variety of applications related to communication between the wearer and surrounding human

Tumadhir Alsulami, Marcel Jackson

We use high girth, high chromatic number hypergraphs to show that there are finite models of the equational theory of the semiring of nonnegative integers whose equational theory has no finite axiomatisation, and show this also holds if factorial, fixed base exponentiation and operations for binomial coefficients are adjoined. We also derive the decidability

Yunxiu Xu, Shoichi Hasegawa

This study introduces a novel haptic device for enhancing dexterous manipulation in virtual reality. By stimulating mechanoreceptors on both sides of the fingernail, our lightweight system simulates tangential force sensations. We employ mechanical stimulation for more natural tactile feedback. A preliminary "balancing grasp challenge" experiment shows that

Takumi Kuhara, Hikari Yukawa, Yoshihiro Tanaka

It is known that by longing the duration of a vibrotactile stimuli or applying a damping or an increasing factor to the waveform the perceived intensity is affected in different ways. This paper presents a vibrotactile presentation system assembled with a software waveform generator that enables comparison in the perceived intensity for different waveforms m

Yusaku Maeda, Sho Sakurai, Koichi Hirota, Takuya Nojima

This study presents a novel contact detection system for "Parablade," a chambara-based, sword-play augmented sport. Augmented sports combine physical activities with virtual parameters (VPs) to create a balanced and equitable gaming experience, irrespective of players' physical capabilities. The proposed Parablade Microphone Unit (PMU) employs multiple micro

Eduardo Sany Laber, Miguel Bastista

Average-link is widely recognized as one of the most popular and effective methods for building hierarchical agglomerative clustering. The available theoretical analyses show that this method has a much better approximation than other popular heuristics, as single-linkage and complete-linkage, regarding variants of Dasgupta's cost function [STOC 2016]. Howev

Alex Abreu, Antonio Nigro, Samrith Ram

We give a counting formula in terms of modified Hall-Littlewood polynomials and the chromatic quasisymmetric function for the number of points on an arbitrary Hessenberg variety over a finite field. As a consequence, we express the Poincar\'e polynomials of complex Hessenberg varieties in terms of a Hall scalar product involving the symmetric functions above

Emily Quesada-Herrera

We give an exposition of some connections between Fourier optimization problems and problems in number theory. In particular, we present some recent conditional bounds under the generalized Riemann hypothesis, achieved via a Fourier optimization framework, on bounding the maximum possible gap between consecutive prime numbers represented by a given quadratic

Tae Ryong Kim, Revanth Koduru, Zehao Lin, Peide. D. Ye

Device-to-device variations in ferroelectric (FE) hafnium oxide (HfO2)-based devices pose a crucial challenge that limits the otherwise promising capabilities of this technology. Although previous simulation-based studies have identified polarization (P) domain nucleation and polycrystallinity as key contributors to variations in HfO2, experimental validatio