Abstract
Body-worn devices have significant potential to improve the health and well-being of many individuals. In this work, wearable inertial sensors are used in order to track and discriminate shoulder motion gestures, without using visual markers or other approaches that constrain the system to a laboratory environment. The device, consisting of a set of orthogonal accelerometers, gyroscopes, and magnetic field sensors, is attached to the person;s upper arm to help prevent shoulder over-use injuries in strenuous work and in athletics. The sensor suite is used to track the orientation of the arm as a function of time. We present a detection and classification approach that can be used to evaluate the number of times certain motion gestures occur.
Original language | English |
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Title of host publication | 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 |
ISBN (Electronic) | 9781467372015 |
DOIs | |
State | Published - Oct 15 2015 |
Event | 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 - Cambridge, United States Duration: Jun 9 2015 → Jun 12 2015 |
Publication series
Name | 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 |
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Conference
Conference | 12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015 |
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Country/Territory | United States |
City | Cambridge |
Period | 6/9/15 → 6/12/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Health Informatics
- Instrumentation
- Signal Processing