The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2012
Session ID : 2P1-P10
Conference information
2P1-P10 Map integration of human trajectories and siting and standing positions using LRF and Kinect(Digital Human)
Yuma NIHEIIppei SAMEJIMANaotaka HATAOHiroshi TAKEMURASatoshi KAGAMI
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
Environment and human recognition is necessary for service robots, such as guidance, communication, or guard. Therefore the technique is suggested that record the human positional information obtained by sensors as map information. By adding human posture information to this map information, robots will be able to offer service depending on human position and posture. Therefore, in this paper, by using Kinect sensor produced by Microsoft, we judge human sitting or standing posture that people take frequently. And we suggest unification method of two kinds of map information, 1) human trajectory, and 2) sitting or standing position.
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© 2012 The Japan Society of Mechanical Engineers
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