vibromaf 0.0.7

Vibrotactile quality metrics and metric fusion

VibroMAF - Vibrotactile Multi-Method Assessment Fusion

Vibrotactile Quality Metrics

This package provides implementations of existing vibrotactile quality metrics and machine learning approach that fuses the individual metric scores into a single final quality score.

Installation

Install vibromaf from PyPI:

pip install vibromaf

For development versions and alternative installations see the installation documentation.

Usage

• Get Started
• Full Documentation

Citation

If you use this work, please cite our paper (PDF)

@inproceedings{noll_vibromaf,
  author    = {Noll, Andreas and Hofbauer, Markus and Muschter, Evelyn and Li, Shu-Chen and Steinbach, Eckehard},
  booktitle = {2022 IEEE Haptics Symposium (HAPTICS)},
  title     = {Automated Quality Assessment for Compressed Vibrotactile Signals Using Multi-Method Assessment Fusion},
  year      = {2022},
  volume    = {},
  number    = {},
  pages     = {1-6},
  doi       = {10.1109/HAPTICS52432.2022.9765599},
  address   = {Santa Barabara, California, USA}
}

Contribute

See our CONTRIBUTING.md

Changelog