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8 November 2020 A spatiotemporal framework for human indoor activity monitoring
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Abstract
Recently, indoor activity monitoring of human beings has gained more and more relevance. In particular, the determination of the spatial and temporal context of a user is of utter importance in many applications like monitoring or safety. In this paper, we present a framework that can identify what, where and how long a user is performing a certain activity by the utilization of a low cost and low complex system. Our system only comprises of a single inertial measurement unit and a single RGB sensitive photodiode, with no prerequisite for infrastructural modifications. By using independent decision trees, also the training effort can be kept minimal. Additionally, we verify experimentally the optimal set of features to be used for the framework. Overall, the achieved results are above 90 % in correct determinations of the room the user is in, the activity the user is performing and in which direction the activity is undertaken.
Conference Presentation
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Ziad Salem, Andreas Peter Weiss, and Franz Peter Wenzl "A spatiotemporal framework for human indoor activity monitoring", Proc. SPIE 11525, SPIE Future Sensing Technologies, 115251L (8 November 2020); https://doi.org/10.1117/12.2579884
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