SSR (Smart Sleep Recognizer): Making Decision Based on Probability of User's Intension (日韓合同ワークショップ 1st Korea-Japan Joint Workshop on Ubiquitous Computing and Networking Systems (ubiCNS 2005))

概要

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In Ubiquitous environment, the interaction between human and computing devices are minimized or removed. The Smart Sleep Recognizer (SSR) defines current situation based on the probability of human's intention without any direct interaction with computing devices. In this paper, the SSR shows the one of the applicable field that defines the human's sleeping situation based on the sensed data. There are many researches on sleeping of human by implementing REM (Rapid Eye movement) or EEG (Electroencephalogram) technologies. However, these technologies require special devices to make a correct decision. The main advantage of the SSR over these existing technologies is that the SSR does not need any device attached to human body to get information. Instead of using attached devices, the SSR gets current information through deployed sensor network. The SSR analyzes the human's behavior by considering the location, time, movement, or any other items that might affect human's sleep and infers the situations by implementing Bayesian Network (BN). In this paper we shall see how these probability based application is contributed to develop Ubiquitous applications through SSR that does not require direct interactions between devices and human.
一般社団法人情報処理学会の論文
2005-06-09