In this paper, we present a Personalized Recurrent Neural Network (PerRNN) to dynamically segment and recognize the human activities based on accelerometer data ...
PerRNN: Personalized Recurrent Neural Networks for Acceleration-based Human Activity Recognition. Xufei Wang∗, Weixian Liao†, Yifan Guo∗, Lixing Yu ...
PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition ... Human Activity Recognition Using Recurrent Neural Network.
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Tan, “Sequential human activity recognition based on deep convolutional networks and ... Li, “PerRNN: Personalized Recurrent Neural Networks for Acceleration-.
Perrnn: Personalized recurrent neural networks for acceleration-based human activity recognition; Proceedings of the ICC 2019–2019 IEEE International ...
PerRNN: Personalized Recurrent Neural Networks for Acceleration-based Human Activity Recognition · Read more about PerRNN: Personalized Recurrent Neural ...
PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition ... Neural Network (PerRNN) to dynamically segment and recognize ...
Conference Paper. PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition. Xufei Wang, Weixian Liao, Yifan Guo, ...
Mar 3, 2020 · This paper presents an original approach to Human Activity Recognition (HAR) tasks based on wearable sensors data.
PerRNN: Personalized Recurrent Neural Networks for Acceleration-Based Human Activity Recognition ... Activity Recognition Based on LSTM Recurrent Neural Networks.