A Novel Multi-Stage Training Approach for Human Activity Recognition From Multimodal Wearable Sensor Data Using Deep Neural Network

Deep neural network is an effective choice to automatically recognize human actions utilizing data from various wearable sensors. These networks automate the process of feature extraction relying completely on data. However, various noises in time series data with complex inter-modal relationships a...

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Veröffentlicht in:IEEE sensors journal 2021-01, Vol.21 (2), p.1715-1726
Hauptverfasser: Mahmud, Tanvir, Sazzad Sayyed, A. Q. M., Fattah, Shaikh Anowarul, Kung, Sun-Yuan
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Sprache:eng
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