Yoshifumi Nishida
Hiroshi Mizoguchi
ABSTRACT
This paper describes a method for robustly detecting and efficiently recognizing daily human behavior in the real world. The proposed method involves real-world sensorization using ultrasonic tags to robustly observe behavior, real-world virtualization to create a virtual environment by modeling real objects using a stereovision system, and virtual sensorization of virtualized objects in order to quickly register the handling of objects in the real world and efficiently recognizing specific human behavior. A behavior-to-speech system created based on this recognition method is also presented as a new application of this technology.
- M. Fishler and R. Bolles. Random sample consensus: A paradigm for model fitting with application to image analysis and automated cartography. Communication of the ACM, 24:381--395, 1981. Google Scholar
Digital Library
- T. Hori, Y. Nishida, T. Kanade, and K. Akiyama. Multi-lateration for multiplexed ultrasonic sensors. In Proceedings of 2003 IEEE International Conference on Sensors, pages 4522--4527, 2003.Google ScholarCross Ref
Index Terms
- Real world sensorization for observing human behavior and its application to behavior-to-speech
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