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Conference Paper Human Gesture Recognition Performance Evaluation for Service Robots
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Authors
Mi-Young Cho, Young-Sook Jeong
Issue Date
2017-02
Citation
International Conference on Advanced Communication Technology (ICACT) 2017, pp.847-851
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.23919/ICACT.2017.7890213
Abstract
Intelligent service robots use gesture recognition technology that utilizes the MS Kinect sensor to facilitate natural interactions between humans and robots. To evaluate gesture recognition performance in a real-life environment, we constructed a new gesture database that takes into account cluttered backgrounds, various distances and poses, and movement of robots, and then we evaluated the gesture recognition performance of commercial robots. In this paper, we seek to help consumers, robot manufacturers, and gesture recognition engine developers provide comparable results for the gesture recognition capabilities of service robots.
KSP Keywords
Human Gesture Recognition, Kinect Sensor, MS Kinect, Natural Interaction, Performance evaluation, Service robots, gesture recognition technology, intelligent service, real-life environment, recognition performance