Sensor Data Augmentation by Resampling in Contrastive Learning for Human Activity Recognition

Author:

Wang Jinqiang1ORCID,Zhu Tao1ORCID,Gan Jingyuan1,Chen Liming Luke2ORCID,Ning Huansheng3ORCID,Wan Yaping1

Affiliation:

1. School of Computer Science, University of South China, Hengyang, China

2. School of Computing, Ulster University, Newtownabbey, U.K.

3. School of Computer and Communication Engineering, University of Science and Technology Beijing, Beijing, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Reference47 articles.

1. TensorFlow: Large-scale machine learning on heterogeneous distributed systems;abadi;arXiv 1603 04467,2016

2. Layer-Wise Training Convolutional Neural Networks With Smaller Filters for Human Activity Recognition Using Wearable Sensors

3. Data augmentation of wearable sensor data for Parkinson’s disease monitoring using convolutional neural networks;um;Proc 19th ACM Int Conf Multimodal Interact,2017

4. Semi-Supervised Contrastive Learning for Human Activity Recognition

5. Improved deep metric learning with multi-class N-pair loss objective;sohn;Proc Adv Neural Inf Process Syst,2016

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