The smart floor: a mechanism for natural user identification and tracking
CHI '00 Extended Abstracts on Human Factors in Computing Systems
Tracking moving devices with the cricket location system
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Broadband Ultrasonic Location Systems for Improved Indoor Positioning
IEEE Transactions on Mobile Computing
The role of prediction algorithms in the MavHome smart home architecture
IEEE Wireless Communications
Intelligent homes: a new challenge in telecommunications standardization
IEEE Communications Magazine
Ubiquitous computing in home networks
IEEE Communications Magazine
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This paper presents a human tracking agent that recognizes the location and motion of the human in the home. We describe the architecture of the human tracking agent, and present an image recognition algorithm to track location and motion of the human. The human tracking agent decides the human’s location, which changes in real-time, through the reletive distance of home furniture (or appliance) and human. Unlike the human’s location, because a person’s appearance (height, weight) is different for each person, a human’s motion should be recognized to be different from each other person. We converted the image (that is acquired from the network camera) into a standard image (that is defined in the human tracking agent) for recognition of multi-user’s motion. We used a LSVM(linear support vector machine) to recognize the feature patterns for human motion. In our experiment, results of motion recognition showed excellent performance accuracy of over 80%.