JOURNAL ARTICLE

Thracker - Using Capacitive Sensing for Gesture Recognition

Abstract

In this paper we present Thracker - a low-cost and robust hardware to track hand gestures in front of a screen or small-scale active spaces like public displays or posters. Thracker uses capacitive sensing for tracking user input. Thracker allows for entire new interaction modes like picking and dropping an object on the screen with the hand. We present a fully working prototype and a short user study to confirm our findings.

Keywords:
Capacitive sensing Gesture Computer science Tracking (education) Track (disk drive) Gesture recognition Object (grammar) Touchpad Computer vision Front (military) Artificial intelligence Computer hardware Engineering

Metrics

43
Cited By
0.73
FWCI (Field Weighted Citation Impact)
4
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Interactive and Immersive Displays
Physical Sciences →  Computer Science →  Human-Computer Interaction
Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction
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