Description: The key benefits of using the smartphone accelerometer for human mobility analysis, with or without location determination
based upon GPS, Wi-Fi or GSM is that it is energy-efficient, provides real-time contextual information and has high availability. Using
measurements an accelerometer for human mobility analysis presents its own challenges as we all carry our smartphones
differently and the measurements are body placement dependent. Also it often relies on an on-demand remote data exchange
for analysis and processing which is less energy-efficient, has higher network costs and is not real-time. We present a novel
accelerometer framework based upon a probabilistic algorithm that neutralizes the effect of different smartphone on-body placements
and orientations to allow human movements to be more accurately and energy-efficiently identified.
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