yunpengn / cg3002

Embedded System Design Project @ NUS CEG

CG3002 AY1819 Sem1 Dance Dance Team 09 💃

This is the main repository for CG3002 project at the National University of Singapore (AY2018/2019 Semester 1). CG3002 is the capstone module for the Computer Engineering programme.

Project Description

This project detects labelled dance moves performed by user.

Accomplished with the use of:

1. Arduino: Obtain values from sensor and output to Raspberry Pi
2. Raspberry Pi: Load sensor values to Machine Learning model, send prediction to server
3. Machine Learning: Process raw data from sensor and output prediction

For more instructions on the software component, please see here.

How to use this project

• Make sure you have installed the relevant dependencies for each component of this system;
• First, put all data under software/data/raw;
  • You can download the dataset as a zip file from here. Unzip and put it under software/data/raw.
• Then, run software/extract_raw.py to extract features into software/data/extract;
  • Alternatively, you can download the extracted data as a zip file from here. Unzip and put it under software/data/extract.
• After that, run software/train.py to train the model (which will be stored under the software/model folder);
  • Alternatively, you can download the pre-trained model from here. Put it under software/model.
• During demo, do the following:
  • Run ArduinoRpiCommunications to start sending data from Arduino to the Raspberry Pi;
  • Run the following two programs at the same time:
    • python software/main.py
    • python comms/server-client/final_eval_server.py [IP address] 3002 09

Team Members

Name	Sub-team
Leow Zheng Yu	Hardware
Xiang Hailin	Hardware
Gauri Joshi	Software
Niu Yunpeng	Software
Chua Kun Hong	Communications
Ang Zhi Yuan	Communications