Eating activity primitives detection - A step towards ADL recognition
Tolstikov, A. Biswas, J. Tham, C.-K. Yap, P.
Biswas, J.
Yap, P.
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Abstract
Activity of Daily Living (ADL) monitoring is important in order to determine the well being of elderly persons in their home settings. One important question is, "Is the elderly person able to eat properly on his own?" In this paper we present some results of our preliminary work on an algorithm for detection of the eating activity. The algorithm uses a Dynamic Bayesian Network based approach to reduce the complexity of determining states. Initial results are quite promising and point to a general algorithmic approach that a) uses multiple modalities of sensors for gathering data, b) detects activity primitives and c) stores detected activity primitives as micro-context for future use. © 2008 IEEE.
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Source Title
2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008
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Date
2008
DOI
10.1109/HEALTH.2008.4600106
Type
Conference Paper