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This paper considers the activity recognition problem using inertial sensor data. It is a challenging temporal pattern recognition problem as the sensor data can be easily mixed with noise and also has large intra-class variation, resulting from different characteristic of people doing same activity, and interclass similarity among several similar activities. To handle these problems concentrating...
The purpose of this study is, for estimating energy expenditure with triaxial accelerometers during exercise, to compare determination coefficients of equations of the estimated regression according to several locations of the accelerometers on the body and then to present an estimation model on the location where there is the least restriction on physical activities. A small portable device that...
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