Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Activity recognition using cell phone accelerometers
ACM SIGKDD Explorations Newsletter
On-body device localization for health and medical monitoring applications
PERCOM '11 Proceedings of the 2011 IEEE International Conference on Pervasive Computing and Communications
Where am i: recognizing on-body positions of wearable sensors
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Phoneprioception: enabling mobile phones to infer where they are kept
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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We present a novel rotation based method for detecting where a mobile device is worn on a user's body that utilizes the fusion of the data from accelerometer and gyroscope. Detecting the position of a mobile device could improve the performance of on-body sensor based human activity recognition and the adaptability of many mobile applications. In our method, the radius and angular velocity for a position is calculated based on the data read from the sensors integrated in a mobile device. We have evaluated our method with an experiment to detect four commonly used positions: breast pocket, trouser pocket, hip pocket and hand.