Human activity recognition with smartphone sensors using deep learning neural networks

作者：

Highlights：

• This paper proposes a deep convolutional neural network for HAR using smartphone sensors.

• Experiments show that the proposed method derives relevant and more complex features.

• The method achieved an almost perfect classification on moving activities.

• It outperforms other state-of-the-art data mining techniques in HAR.

摘要

•This paper proposes a deep convolutional neural network for HAR using smartphone sensors.•Experiments show that the proposed method derives relevant and more complex features.•The method achieved an almost perfect classification on moving activities.•It outperforms other state-of-the-art data mining techniques in HAR.

论文关键词：Human activity recognition,Deep learning,Convolutional neural network,Smartphone,Sensors

论文评审过程：Received 4 August 2015, Revised 14 January 2016, Accepted 25 April 2016, Available online 26 April 2016, Version of Record 6 May 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.04.032