wenbohuang1002 / Channel-Selectivity-HAR

[IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors

[IEEE JBHI 2021]Channel-Selectivity-CNN-for-HAR

[IEEE JBHI 2021] The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors All of datasets we use in this paper can be download from Internet and you can find we how to process data in this paper.
This is my first time to open source, so there maybe some problems in my codes and I will improve this project in the near feature.
Thanks!

Requirements

● Python3
● PyTorch (My version 1.9.0+cu111, please choose compatibility with your computer)
● Scikit-learn
● Numpy

How to train

UCI-HAR dataset

Get UCI dataset from UCI Machine Learning Repository(http://archive.ics.uci.edu/ml/index.php), do data pre-processing by sliding window strategy and split the data into training and test sets

# Baseline for UCI-HAR
$ python Net_UCI_B.py
# Baseline + Channel-selectivity for UCI-HAR
$ python Net_UCI_SC.py
# ResNet for UCI-HAR
$ python Net_UCI_ReB.py
# ResNet + Channel-selectivity for UCI-HAR
$ python Net_UCI_ReSC.py

OPPORTUNITY dataset

# Baseline for OPPORTUNITY
$ python Net_Opportunity_B.py
# Baseline + Channel-selectivity for OPPORTUNITY
$ python Net_Opportunity_SC.py
# ResNet for OPPORTUNITY
$ python Net_Opportunity_ReB.py
# ResNet + Channel-selectivity for OPPORTUNITY
$ python Net_Opportunity_ReSC.py

PAMAP2 dataset

# Baseline for PAMAP2
$ python Net_pamap2_B.py
# Baseline + Channel-selectivity for PAMAP2
$ python Net_pamap2_SC.py
# ResNet for PAMAP2
$ python Net_pamap2_ReB.py
# ResNet + Channel-selectivity for PAMAP2
$ python Net_pamap2_ReSC.py

UniMiB-SHAR dataset

# Baseline for UniMiB-SHAR
$ python Net_unimib_B.py
# Baseline + Channel-selectivity for UniMiB-SHAR
$ python Net_unimib_SC.py
# ResNet for UniMiB-SHAR
$ python Net_unimib_ReB.py
# ResNet + Channel-selectivity for UniMiB-SHAR
$ python Net_unimib_ReSC.py

WISDM dataset

# Baseline for WISDM
$ python Net_wisdm_B.py
# Baseline + Channel-selectivity for WISDM
$ python Net_wisdm_SC.py
# ResNet for WISDM
$ python Net_wisdm_ReB.py
# ResNet + Channel-selectivity for WISDM
$ python Net_wisdm_ReSC.py

Citation

If you find Channel-Selectivity CNN for HAR useful in your research, please consider citing.

@article{huang2021convolutional,
  title={The convolutional neural networks training with Channel-Selectivity for human activity recognition based on sensors},
  author={Huang, Wenbo and Zhang, Lei and Teng, Qi and Song, Chaoda and He, Jun},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2021},
  publisher={IEEE}
}