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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