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- Title
Human motion recognition using a wireless sensor-based wearable system.
- Authors
Varkey, John; Pompili, Dario; Walls, Theodore
- Abstract
The future of human computer interaction systems lies in how intelligently these systems can take into account the user's context. Research on recognizing the daily activities of people has progressed steadily, but little focus has been devoted to recognizing jointly activities as well as movements in a specific activity. For many applications such as rehabilitation, sports medicine, geriatric care, and health/fitness monitoring the importance of combined recognition of activity and movements can drive health care outcomes. A novel algorithm is proposed that can be tuned to recognize on-the-fly range of activities and fine movements within a specific activity. Performance of the algorithm and a case study on obtaining optimal features from sensor and parameter values for the algorithm to detect fine motor movements are presented.
- Subjects
CASE studies; WIRELESS sensor networks; HUMAN-computer interaction; MOTION capture (Human mechanics); HEALTH outcome assessment; COMPUTER simulation of human mechanics; HUMAN activity recognition
- Publication
Personal & Ubiquitous Computing, 2012, Vol 16, Issue 7, p897
- ISSN
1617-4909
- Publication type
Article
- DOI
10.1007/s00779-011-0455-4