Daily living activity recognition based on statistical feature quality group selection

Volume: 39, Issue: 9, Pages: 8013 - 8021
Published: Jul 1, 2012
Abstract
The benefits arising from proactive conduct and subject-specialized healthcare have driven e-health and e-monitoring into the forefront of research, in which the recognition of motion, postures and physical exercise is one of the main subjects. We propose here a multidisciplinary method for the recognition of physical activity with the emphasis on feature extraction and selection processes, which are considered to be the most critical stages in...
Paper Details
Title
Daily living activity recognition based on statistical feature quality group selection
Published Date
Jul 1, 2012
Volume
39
Issue
9
Pages
8013 - 8021
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