Acceleration Noise Correction for Transfer Inference Using Accelerometers on Mobile Devices
The acceleration noise generated in the ordinary usage of mobile devices (e.g. when “taking out” the devices or operating them) interferes with estimation of the means of migration using accelerometers on the devices. We developed a correction method for the noise generated when users take out devices, change their posture, and operate the devices. The method uses the changes of acceleration and the operation events acquired from the operating systems of the mobile devices to detect the period of noises. The result of evaluation shows that the method using the acceleration changes improves the precision of the context inference approximately 5 %, and the method using the operation events corrects the inference mistaking resting for boarding.
KeywordsMobile Device Hide Markov Model Linear Discriminant Analysis Correction Method Acceleration Data
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