Journal article
Recognizing independent and joint activities among multiple residents in smart environments
Journal of ambient intelligence and humanized computing, Vol.1(1), pp.57-63
03/01/2010
Handle:
https://hdl.handle.net/2376/100288
PMCID: PMC2958106
PMID: 20975986
Abstract
The pervasive sensing technologies found in smart homes offer unprecedented opportunities for providing health monitoring and assistance to individuals experiencing difficulties living independently at home. A primary challenge that needs to be tackled to meet this need is the ability to recognize and track functional activities that people perform in their own homes and everyday settings. In this paper, we look at approaches to perform real-time recognition of Activities of Daily Living. We enhance other related research efforts to develop approaches that are effective when activities are interrupted and interleaved. To evaluate the accuracy of our recognition algorithms we assess them using real data collected from participants performing activities in our on-campus smart apartment testbed.
Metrics
6 Record Views
Details
- Title
- Recognizing independent and joint activities among multiple residents in smart environments
- Creators
- Geetika SinglaDiane J CookMaureen Schmitter-Edgecombe
- Publication Details
- Journal of ambient intelligence and humanized computing, Vol.1(1), pp.57-63
- Academic Unit
- Psychology, Department of; Electrical Engineering and Computer Science, School of
- Identifiers
- 99900546623401842
- Language
- English
- Resource Type
- Journal article