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Communication Dans Un Congrès Année : 2013

Extracting intra- and inter-activity association patterns from daily routines of elders

Résumé

One of the most challenging issues faced by many elders is the over-decreasing independence mainly caused by impaired physical, cognitive, and/or sensory abilities. Activity recognition can be used to help elders live longer in their own homes independently, by providing assurance of safety, instructing performance of activity and assessing cognitive status. In this work, we propose to discover both intra- and inter-activity association patterns from daily routines of elderly people. Specifically, a data mining method is proposed to extract the most frequent sequential sequences of steps inside each individual activity (i.e., intra-activity pattern) and activities (i.e., inter-activity pattern) of a set of daily activities. These patterns can then be used to model human daily activities for activity recognition purpose, or to directly instruct/prompt elders with impaired memory when they perform daily routines. The experimental results conducted on two individuals' datasets of daily activities show that our proposed approach is workable to discover these association patterns

Dates et versions

hal-01258100 , version 1 (18-01-2016)

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Citer

Qiang Lin, Daqing Zhang, Dongsheng Li, Hongbo Ni, Xingshe Zhou. Extracting intra- and inter-activity association patterns from daily routines of elders. ICOST 2013 : 11th International Conference on Smart Homes and Health Telematics, Jun 2013, Singapour, Singapore. pp.36 - 44, ⟨10.1007/978-3-642-39470-6_5⟩. ⟨hal-01258100⟩
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