Lightweight palm and finger tracking for real-time 3D gesture control

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Abstract

We present a novel technique implementing barehanded interaction with virtual 3D content by employing a time-of-flight camera. The system improves on existing 3D multi-touch systems by working regardless of lighting conditions and supplying a working volume large enough for multiple users. Previous systems were limited either by environmental requirements, working volume, or computational resources necessary for realtime operation. By employing a time-of-flight camera, the system is capable of reliably recognizing gestures at the finger level in real-time at more than 50 fps with commodity computer hardware using our newly developed precision hand and finger-tracking algorithm. Building on this algorithm, the system performs gesture recognition with simple constraint modeling over statistical aggregations of the hand appearances in a working volume of more than 8 cubic meters. Two iterations of user tests were performed on a prototype system, demonstrating the feasibility and usability of the approach as well as providing first insights regarding the acceptance of true barehanded touch-based 3D interaction. © 2011 IEEE.

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APA

Hackenberg, G., McCall, R., & Broll, W. (2011). Lightweight palm and finger tracking for real-time 3D gesture control. In Proceedings - IEEE Virtual Reality (pp. 19–26). https://doi.org/10.1109/VR.2011.5759431

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