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DATE
2010
IEEE

Power-accuracy tradeoffs in human activity transition detection

14 years 4 months ago
Power-accuracy tradeoffs in human activity transition detection
— Wearable, mobile computing platforms are envisioned to be used in out-patient monitoring and care. These systems continuously perform signal filtering, transformations, and classification, which are quite compute intensive, and quickly drain the system energy. The design space of these human activity sensors is large and includes the choice of sampling frequency, feature detection algorithm, length of the window of transition detection etc., and all these choices fundamentally trade-off power/performance for accuracy of detection. In this work, we explore this design space, and make several interesting conclusions that can be used as rules of thumb for quick, yet power-efficient designs of such systems. For instance, we find that the x-axis of our signal, which was oriented to be parallel to the forearm, is the most important signal to be monitored, for our set of hand activities. Our experimental results show that by carefully choosing system design parameters, there is considerab...
Jeffrey Boyd, Hari Sundaram, Aviral Shrivastava
Added 10 Jul 2010
Updated 10 Jul 2010
Type Conference
Year 2010
Where DATE
Authors Jeffrey Boyd, Hari Sundaram, Aviral Shrivastava
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