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- W2151929055 abstract "We introduce a novel activity recognition method based on the RF-signal originated from ambient FM radio source. For the purpose of classifying activities, we utilise a two stage approach which can initially distinguish between coarse-grained activities, then make further fine-grained recognition. Additionally, a study on features is conducted to investigate the most suitable combination to achieve the highest accuracy on the detection of activities. By comparing to a one stage classification process, the experimental results demonstrate the advantage of our designed approach." @default.
- W2151929055 created "2016-06-24" @default.
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- W2151929055 date "2012-09-01" @default.
- W2151929055 modified "2023-09-25" @default.
- W2151929055 title "Activity recognition from radio frequency data: Multi-stage recognition and features" @default.
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- W2151929055 doi "https://doi.org/10.1109/vtcfall.2012.6399382" @default.
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