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Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".

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IJCAI2019_DDNN

Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition". If you find the codes helpful, kindly cite our paper.

@inproceedings{DBLP:conf/ijcai/QianPDM19,
 author    = {Hangwei Qian and
              Sinno Jialin Pan and
              Bingshui Da and
              Chunyan Miao},
 title     = {A Novel Distribution-Embedded Neural Network for Sensor-Based Activity
              Recognition},
 booktitle = {{IJCAI}},
 pages     = {5614--5620},
 publisher = {ijcai.org},
 year      = {2019}
}

The codes are tested with pytorch=1.3, python>3.5. Codes for data preprocessing on 4 datasets (Opportunity, UCIHAR, DG and PAMAP2) are in files data_preprocess_[dataset_name].py. To run the code, please run the following script:

python main_[dataset_name].py 

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Code for our IJCAI 2019 paper "A Novel Distribution-Embedded Neural Network for Sensor-Based Activity Recognition".

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