Human Motion Recognition Using a Wireless Sensor-based Wearable System | The NSF Cloud and Autonomic Computing Center at Rutgers

Title	Human Motion Recognition Using a Wireless Sensor-based Wearable System
Publication Type	Journal Article
Year of Publication	2011
Authors	Varkey, JP, Pompili, D, Walls, T
Journal	Personal and Ubiquitous Computing (Springer)
Pagination	1-14
Date Published	September
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.

Document:

Search form