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This paper is concerned with monitoring of basic daily activities using inertial sensors and foot pressure sensors. Daily activities are classified into eight states: : sitting, walking, walking up, walking down, running, running up, running down, and standing. A hidden Markov model filter is used to estate activity states. Also when the activity states are walking or running, walking distance is...
In this paper we describe a prototype system of identifying environment condition utilizing signals emitted by people. Many people move around in many places such as urban and mountain areas. If each person emits information about identifying the state of the place where he/she and all the information is collected to one site, we can know the state of an area. Based on the idea, we have extended WINFO,...
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