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http://dx.doi.org/10.9717/kmms.2014.17.12.1437

Motion Recognition of Smartphone using Sensor Data  

Lee, Yong Cheol (Dept. of Electronics & Computer Eng., Graduate School, Chonnam National University)
Lee, Chil Woo (Dept. of Electronics & Computer Eng., Chonnam National University)
Publication Information
Journal of Korea Multimedia Society / v.17, no.12, 2014 , pp. 1437-1445 More about this Journal
Abstract
A smartphone has very limited input methods regardless of its various functions. In this respect, it is one alternative that sensor motion recognition can make intuitive and various user interface. In this paper, we recognize user's motion using acceleration sensor, magnetic field sensor, and gyro sensor in smartphone. We try to reduce sensing error by gradient descent algorithm because in single sensor it is hard to obtain correct data. And we apply vector quantization by conversion of rotation displacement to spherical coordinate system for elevated recognition rate and recognition of small motion. After vector quantization process, we recognize motion using HMM(Hidden Markov Model).
Keywords
Sensor Motion Recognition; Sensor Fusion; Hidden Markov Model;
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Times Cited By KSCI : 1  (Citation Analysis)
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