Work

Human Activity Recognition and Pattern Discovery

Year: 2010

Type: article

Abstract: In principle, activity recognition can be exploited to great societal benefits, especially in real-life, human centric applications such as elder care and healthcare. This article focused on recognizing simple human activities. Recognizing complex activities remains a challenging and active area of research and the nature of human activities poses different challenges. Human activity understanding encompasses activity recognition and activity pattern discovery. The first focuses on accurate detection of human activities based on a predefined activity model. An activity pattern discovery researcher builds a pervasive system first and then analyzes the sensor data to discover activity patterns.

Source: IEEE Pervasive Computing

DOI: 10.1109/mprv.2010.7

Authors: Eunju Kim, Sumi Helal, Diane Cook

Institutions: University of Florida, Washington State University

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Institute of Biomedical Imaging and Bioengineering

Award: Smart Technologies for Health Assessment and Assistance