zhangyan560 / RepresentationalAnalysisOfHumanActivityRecognition

This project uses SVCCA to measure the similarity between layers in HAR models

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RepresentationalAnalysisOfHumanActivityRecognition

This project uses SVCCA to measure the similarity between layers in HAR models

The datasets in this project are Opportunity, pamap2 and daphnet gait. The links are below

Opp: http://archive.ics.uci.edu/ml/datasets/OPPORTUNITY+Activity+Recognition

pamap2: http://archive.ics.uci.edu/ml/datasets/PAMAP2+Physical+Activity+Monitoring

daphnet gait: http://archive.ics.uci.edu/ml/datasets/Daphnet+Freezing+of+Gait

Once downloaded the datasets, please save the dataset in the data source file.

The whole project is run on Colab with GPU acceleration Please notice the default data path is in the colab environment

Once downloaded the data, used the code in demo.ipynb to train and test the model.

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This project uses SVCCA to measure the similarity between layers in HAR models


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