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About this paper
Qianggang Ding, Xingyao Wang, Rui Feng, Chi Qin, Weijian Lin, Lizhi Ding, Jiankai Tang, Yuntao Wang and 2 more
OpenZilo links wearable speech and gesture inputs to task-context decisions and robot actions. In a study with 10 participants, speech and gesture task success were 90.4% and 88.8%, below recognition accuracy of 94.8% and 92.4%. Gesture adjustments had shorter median cue-to-effect times for turns and stops. These pooled descriptive results apply to the tested configuration; physiological notifications were simulated.
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