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Ultra-wideband radar and stacked LSTM-RNN for at home fall detection

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LSTMFall

ULTRA WIDEBAND RADAR AND STACKED LSTM-RNN FOR AT HOME FALL DETECTION

We propose a new framework for fall detection based on stacked long-short-term memory (LSTM) recurrent neural network. The radar time series data are directly fed into a stacked LSTM network for automatic feature extraction.

H. Sadreazami, M. Bolic and S. Rajan, ON THE USE OF ULTRA WIDEBAND RADAR AND STACKED LSTM-RNN FOR AT HOME FALL DETECTION, Life Sciences Conference, pp. 255-258, 2018.

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Ultra-wideband radar and stacked LSTM-RNN for at home fall detection

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