著者

Brahim BENAISSA Mario KÖPPEN Kaori YOSHIDA

出版者

Japan Society of Kansei Engineering

雑誌

International Journal of Affective Engineering (ISSN:21875413)

巻号頁・発行日

vol.17, no.2, pp.81-88, 2017 (Released:2018-04-27)

参考文献数

39

被引用文献数

5

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The problems facing elderly who are living independently, are considered to be one of the most important motivations of the activity recognition research. The advances in sensing technologies allow collecting several types of data and communicate it wirelessly. However, most existing activity recognition systems requires pre-calculated pattern recognition models. This paper lays the theoretical foundations of a real-time methodology for activity and emotional recognition based on body and environment sensors simultaneously, then tackles one aspect of the method which is the path estimation using chest-mounted IMU sensor, for which a zero velocity update criteria is proposed. Finally path estimation results for sitting down, laying down, falling down and standing up are discussed.