Work

Tracking Activities in Complex Settings Using Smart Environment Technologies.

Year: 2009

Type: article

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.

Source: PubMed

Authors: Geetika Singla, Diane J Cook, Maureen Schmitter-Edgecombe

Institution: Washington State University

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute on Drug Abuse

Award: Smart Home-based Health Platform for Behavioral Monitoring Diabetes and Obesity