Camera-Free Object Discovery and Interaction with GazeTags
Vimal Mollyn, Chris Harrison
Abstract
We present GazeTags, a camera- and computer-vision-free approach for worn head-gaze object awareness. Our small electronic tags cost roughly \$2 each and can operate for more than a year on a coin cell battery. They work in concert with a user-worn device (smartglasses, hearables, etc.) that periodically emits a focused infrared signal aligned with the user's head direction. Only GazeTags within that narrow head-oriented beam wake and respond, providing their identity and optional payloads such as object state or live sensor readings. By avoiding cameras and computer vision pipelines, our approach is very energy efficient, able to operate continuously even in battery-constrained wearables, and sidesteps non-trivial privacy issues. We describe our hardware design, characterize our system performance and operating tradeoffs, and demonstrate how GazeTags can enable practical gaze-aware environments.
Create a lesson
Related papers
SEAM: Situated Executable Associative Memory for a Co-located Community
Keru Wang, Michael Xu, Ken Perlin et al.
OmniScribble: Mixed-Initiative Authoring of Animated Sketches through Inspectable and Repairable AI Decisions
Hien Trinh, Tan-Hiep To, Trung-Nghia Le
Agentic Path Maps: Exposing an Agent's Traversal Through the Garden of Forking Paths
Madeleine Grunde-McLaughlin, Hafsah Usman, Daniel Mitroshkov et al.
Must AI Spell It Out? Pragmatic Comprehension of Alerts in a Time-Critical Task
Anwesha Das, Vera Demberg, Anna Maria Feit
From Benchmarks to Behaviors: A Framework for Auditing AI Agents
Nick Hagar
Proceedings of the CSCW 2026 Workshop on Women's Health as Cooperative Work: Participatory AI Across Care, Community, and Policy
Sherilyn Francis