Analysis of the data collected in https://github.com/tberkane/TouchWriteDataCollection and digit recognition from capacitance data.
Place the data in the directories inside the data
directory.
Create a conda environment using the provided env.yml
file :
conda env create -f env.yml
Open the notebooks :
jupyter lab
Then go the prediction.ipynb notebook and run all the cells to execute the preprocessing and prediction pipeline.
├── README.md <- README for developers using this project.
│
├── data
│ ├── capacitance <- Capacitance data collected by the tablet app.
│ ├── depth <- Depth data collected by the RealSense camera.
│ └── hand_pose <- Hand pose data collected by the Leap Motion.
│
├── prediction.ipynb <- Notebook containing the code to preprocess and make predictions from the capacitance data.
│
├── research.ipynb <- Notebook to explore and experiment with the data.
│
└── report.pdf <- Final report.