# Baseline (3-layer CNN) for UCI-HAR
$ python Net_UCI_B.py
# 6-layer CNN for UCI-HAR
$ python Net_UCI_B1.py
# C3 for UCI-HAR
$ python Net_UCI_C3.py

# Baseline (3-layer CNN) for OPPORTUNITY
$ python Net_Opportunity_B.py
# 6-layer CNN for OPPORTUNITY
$ python Net_Opportunity_B1.py
# C3 for OPPORTUNITY
$ python Net_Opportunity_C3.py

# Baseline (3-layer CNN) for PAMAP2
$ python Net_pamap2_B.py
# 6-layer CNN for PAMAP2
$ python Net_pamap2_B1.py
# C3 for PAMAP2
$ python Net_pamap2_C3.py

# Baseline (3-layer CNN) for UniMiB-SHAR
$ python Net_unimib_B.py
# 6-layer CNN for UniMiB-SHAR
$ python Net_unimib_B1.py
# C3 for UniMiB-SHAR
$ python Net_unimib_C3.py

@article{huang2021shallow,
  title={Shallow Convolutional Neural Networks for Human Activity Recognition Using Wearable Sensors},
  author={Huang, Wenbo and Zhang, Lei and Gao, Wenbin and Min, Fuhong and He, Jun},
  journal={IEEE Transactions on Instrumentation and Measurement},
  volume={70},
  pages={1--11},
  year={2021},
  publisher={IEEE}
}