README.md

metadata

title: AIOT Inference
emoji: 🐨
colorFrom: yellow
colorTo: purple
sdk: gradio
sdk_version: 5.9.0
app_file: app.py
pinned: false

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

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 — 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.

Repositories

• BurnSync Repository
• BurnSync Website