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Communication Dans Un Congrès Année : 2012

Does location help daily activity recognition ?

Résumé

Daily activity recognition is essential to enable smart elderly care services and the recognition accuracy affects much the quality of the elderly care system. Although a lot of work has been done to recognize elderly people's activities of daily life (ADL), few systems have investigated if the location information can be deployed to improve the ADL recognition accuracy. In this paper, we intend to incorporate the location information in the activity recognition algorithm and see if it can help to improve the recognition accuracy. We propose two ways to bring the location information into the picture: one way is to bring location in the feature level, the other way is to utilize it to filter irrelevant sensor readings. Intensive experiments have been conducted to show that bringing location information into the activity recognition algorithm in both ways can help to improve the recognition rate by around 5% on average compared to the system neglecting the location information
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Dates et versions

hal-00751311 , version 1 (13-11-2012)

Identifiants

Citer

Chao Chen, Daqing Zhang, Lin Sun, Mossaab Hariz, Yang Yuan. Does location help daily activity recognition ?. ICOST 2012 : 10th International Conference on Smart Homes and Health Telematics, Jun 2012, Artiminio, Italy. pp.83 - 90, ⟨10.1007/978-3-642-30779-9_11⟩. ⟨hal-00751311⟩
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