tberkane / TouchWriteAnalysis

Touch Write Analysis

Analysis of the data collected in https://github.com/tberkane/TouchWriteDataCollection and digit recognition from capacitance data.

Data

Place the data in the directories inside the data directory.

How to run

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.

Project Organization

├── 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.