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Achieving true ambient intelligence calls for a new opportunistic activity recognition paradigm in which, instead of deploying information sources for a specific goal, the recognition methods themselves dynamically adapt to available sensor data. The Web extra at http://youtu.be/dMN3Hoq5QfU is a video recording of opportunistic sensor configurations in a highly rich sensor environment that shows how...
Human activity recognition is a thriving research field. There are lots of studies in different sub-areas of activity recognition proposing different methods. However, unlike other applications, there is lack of established benchmarking problems for activity recognition. Typically, each research group tests and reports the performance of their algorithms on their own datasets using experimental setups...
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