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

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

Metadata

Release files for vibromaf 0.0.8

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for vibromaf 0.0.8
File	Size	Uploaded
vibromaf-0.0.8.tar.gz	18.2 kB	Nov 4, 2024	Details

Built distribution (wheel)

Table of built distributions (wheels) for vibromaf 0.0.8
File	Interpreter	ABI	Platform	Reset
vibromaf-0.0.8-py3-none-any.whl 11.2 kB Nov 4, 2024	Python 3	none	any	Details

Total release size: 29.4 kB

Release files / vibromaf-0.0.8.tar.gz

Download URL	vibromaf-0.0.8.tar.gz
Size	18.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`a6d70c05dc96514f629257be2d974381c3267cb10052c5b66b32595e23daed7a`
BLAKE2b-256 checksum How to use checksums	`f9e771843c35436f383f6e63590f12c6b7509dd92e57fb54a143cfa475fee71a`
Upload date	Nov 4, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.12.7`

Release files / vibromaf-0.0.8-py3-none-any.whl

Download URL	vibromaf-0.0.8-py3-none-any.whl
Size	11.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ba75d5941b4e1b1a65cec795fde65ffd557038b0321010b60a6987b603ac70ed`
BLAKE2b-256 checksum How to use checksums	`13a1508f4f5d407260142719e6b5627a400ea1bddc04b3abf1aa9184c766affb`
Upload date	Nov 4, 2024
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.12.7`