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This paper presents an energy expenditure estimation method that uses a wearable accelerometer sensor, but does not rely on a priori knowledge about the location of the sensor. The sensor can be worn at any of three pre-defined locations, namely, right wrist, right thigh and right ankle. It is shown that once the system is trained, the proposed mechanism can perform sensor location detection in run-time...
This paper presents the implementation details, system architecture and performance of a wearable sensor network that was designed for human activity recognition and energy expenditure estimation. We also included ActiGraph GT3X+ as a popular single sensor solution for detailed comparison with the proposed wearable sensor network. Linear regression and Artificial Neural Network are implemented and...
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