Real-time Social Touch Gesture Recognition for Sensate Robots

被引:19
|
作者
Knight, Heather [1 ]
Toscano, Robert [1 ]
Stiehl, Walter D. [1 ]
Chang, Angela [1 ]
Wang, Yi [1 ]
Breazeal, Cynthia [1 ]
机构
[1] MIT, Media Lab, Personal Robots Grp, Cambridge, MA 02142 USA
关键词
D O I
10.1109/IROS.2009.5354169
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes the hardware and algorithms for a realtime social touch gesture recognition system. Early experiments involve a Sensate Bear test-rig with full body touch sensing, sensor visualization and gesture recognition capabilities. Algorithms are based on real humans interacting with a plush bear. In developing a preliminary gesture library with thirteen Symbolic Gestures and eight Touch Subtypes, we have taken the first steps toward a Robotic Touch API, showing that the Huggable robot behavior system will be able to stream currently active sensors to detect regional social gestures and local sub-gestures in realtime. The system demonstrates the infrastructure to detect three types of touching: social touch, local touch, and sensor-level touch.
引用
收藏
页码:3715 / 3720
页数:6
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