Mitigating sensor differences for phone-based human activity recognition

This paper presents our recent work on the analyses of smart phone sensor data collected for the human activity recognition (HAR), with the objective to develop more accurate activity recognition systems independent of smart phone models. We identify the multi-device scenario and present the impairments of different smartphone embedded sensor models on HAR applications. Outlier removal, interpolation, and filters in the preprocessing stage are …