Please use this identifier to cite or link to this item:
|Title:||Eating activity primitives detection - A step towards ADL recognition|
|Authors:||Tolstikov, A. |
|Source:||Tolstikov, A.,Biswas, J.,Tham, C.-K.,Yap, P. (2008). Eating activity primitives detection - A step towards ADL recognition. 2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008 : 35-41. ScholarBank@NUS Repository. https://doi.org/10.1109/HEALTH.2008.4600106|
|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.|
|Source Title:||2008 10th IEEE Intl. Conf. on e-Health Networking, Applications and Service, HEALTHCOM 2008|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.