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What is Motion Recognition

Encyclopedia of Mobile Phone Behavior
A pattern recognition method of recognizing human motion states using sensors, such as accelerometers, gyroscopes, cameras, and so on.
Published in Chapter:
Cognitive Phone for Sensing Human Behavior
Ling Pei (Shanghai Jiao Tong University, China), Robert Guinness (Finnish Geodetic Institute, Finland), and Jyrki Kaistinen (University of Helsinki, Finland)
Copyright: © 2015 |Pages: 13
DOI: 10.4018/978-1-4666-8239-9.ch093
Abstract
A boom of various sensor options gives a mobile phone the capability for sensing the social context and makes a mobile phone an attractive “cognitive” platform, which has great potential to model and cognize human behavior. A review of the history, current state, and future directions of the cognitive phone are outlined in this article. An implementation example of a cognitive phone is presented, and a Location-Motion-Context (LoMoCo) model is introduced, to combine personal location information and motion states to infer a corresponding context. Future possibilities of cognitive phones in behavior detection and change are outlined.
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