---
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

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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.

## Repositories
* [BurnSync Repository](https://github.com/lsy1205/BurnSync.git)
* [BurnSync Website](https://github.com/lsy1205/BurnSync_website.git)