fyng / hmm_accelerometry

Motion classification from IMU accelerometry using Hidden Markov Model

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hmm_accemerometry

Motion classification from IMU accelerometry using Hidden Markov Model.

Usage

Install micromamba or mamba as the package manager. To install micromamba, refer to the installation guide

To install the classifier:

  1. Clone the repo
git clone https://github.com/fyng/hmm_accemerometry.git
cd hmm_accelerometry
  1. Create virtual environment
micromamba env create -f environment.yml
micromamba activate hmm
  1. Install the model
pip install .
  1. Run the model In demo.ipynb, update the directory of the test folder. Then run all cells.

Acknowledgement

ECE 5242 - Intelligent Autonomous Systems taught by Prof Daniel Lee & Travers Rhodes

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Motion classification from IMU accelerometry using Hidden Markov Model


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Language:Jupyter Notebook 54.2%Language:Python 45.8%