NDLI: Sensor based micro context for mild dementia assistance

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Sensor based micro context for mild dementia assistance

Content Provider	ACM Digital Library
Author	Tolstikov, A. Jayachandran, M. Sim, K. Huang, W. Foo, V. Yap, P. Aung, A. Biswas, J.
Abstract	Due to decline in their cognitive function, elderly people with mild dementia living alone at home are at risk of making errors in their activities of daily living (ADLs). In order to help such people, most activity recognition systems for assistive living in smart homes attempt to classify activities from coarse grained context such as location or time of day. Location by itself however, does not provide adequate context information for the recognition of ADLs and instrumental ADLs. It does not help to know that a person is in the kitchen if we are interested in knowing whether or not he has taken his meal (ADL) or prepared it (iADL). Additional information about the activity is needed. In this paper micro-context is introduced as a key aspect both for activity recognition as well as for prompted correction. Initial results from our laboratory experiments are presented herein, and it is shown that micro-context is useful for both activity recognition and prompted error correction.
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450300711
DOI	10.1145/1839294.1839318
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-06-23
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Prompts and reminders Ambient intelligence Assistance for adls Sensor based activity recognition Activities of daily living (adls)
Content Type	Text
Resource Type	Article

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