CyclopsRing: Enabling Whole-Hand and Context-Aware Interactions Through a Fisheye Ring
summary
A fisheye camera mounted at the hand webbing on a ring captures 480×480 images sent to an external PC and recognizes seven gestures with a random decision forest, reporting about 84.75% recognition rate from 15 participants. Heuristics plus Viola‑Jones fingernail detection and color filtering enable on-finger pinch-and-slide, palm-writing and in‑air pinch‑motion input, plus AR-aware actions for smart‑home and VR. Prototype works but depends on skin detection, lighting, and external computation/power.
AI-written summary · about
chapters (10)
- 0:00Introduction
- 1:52Motivation for camera placement
- 3:39CyclopsRing concept demo
- 5:21System hardware overview
- 6:24Gesture recognition pipeline
- 8:08Interaction algorithms
- 11:42Context-aware applications
- 13:08Experimental results
- 14:57Limitations and future work
- 15:19Q&A session
related talks
04mDualRing: Enabling Subtle and Expressive Hand Interaction with Dual IMU Rings
07mAuraRing: Precise Electromagnetic Finger Tracking
06mIdentifying Contact Fingers on Touch Sensitive Surfaces by Ring-Based Vibratory Communication
11mWrist2Finger: Sensing Fingertip Force for Force-Aware Hand Interaction with a Ring-Watch Wearable
08mX-Rings: A Hand-mounted 360 Degree Shape Display for Grasping in Virtual Reality
06mDesigning and Evaluating Hand-to-Hand Gestures with Dual Commodity Wrist-Worn Devices
19mTRing: Instant and Customizable Interactions with Objects Using an Embedded Magnet and a ...
06mHow Subtle Can It Get? A Trimodal Study of Ring-sized Interfaces for One-Handed Drone Control