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AIOT12345/IMU_CLASSIFY

sourceHugging Faceupdated 2y agoView on Hugging Face
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title: AIOT Inference emoji: 🐨 colorFrom: yellow colorTo: purple sdk: gradio sdkversion: 5.9.0 appfile: app.py pinned: false ---

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

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BurnSync Classification Model

Authors

  • —Hsuan-Ying, Liu
  • —Affiliation: National Taiwan University, NTUEE
  • —Email: stevenliu901205@gmail.com
  • —Chi-En Dai
  • —Affiliation: National Taiwan University, NTUGICE
  • —Email: dcn0629@gmail.com

If you have any question about this project, do not hesitate to contact us for detail explanation!!!

Introduction

This is a repository we held on Hugging Face to deploy our exercise classification model. It is able to classify four types of exercise &mdash; push-up, sit-up, squat and dumbbell. We also applied sliding window to count the repetitions of the exercise sequence. The input of this model is a json file with IMU data sequence. The output is a json file with the exercise type and the repetition count inside. To know more about our project, please refer to our BurnSync repository below.

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