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2010
Springer

Toward natural interaction in the real world: real-time gesture recognition

9 years 5 months ago
Toward natural interaction in the real world: real-time gesture recognition
Using a new hand tracking technology capable of tracking 3D hand postures in real-time, we developed a recognition system for continuous natural gestures. By natural gestures, we mean those encountered in spontaneous interaction, rather than a set of artificial gestures chosen to simplify recognition. To date we have achieved 95.6% accuracy on isolated gesture recognition, and 73% recognition rate on continuous gesture recognition, with data from 3 users and twelve gesture classes. We connected our gesture recognition system to Google Earth, enabling real time gestural control of a 3D map. We describe the challenges of signal accuracy and signal interpretation presented by working in a real-world environment, and detail how we overcame them. Categories and Subject Descriptors H.5.2 [Information Interfaces and Presentation]: User Interfaces--input devices and strategies, interaction styles General Terms Human Factors Keywords Multimodal interaction, natural human computer interaction, ...
Ying Yin, Randall Davis
Added 12 Feb 2011
Updated 12 Feb 2011
Type Journal
Year 2010
Where ICMI
Authors Ying Yin, Randall Davis
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