Automated Quality Assessment for Compressed Vibrotactile Signals Using Multi-Method Assessment Fusion-Reference-Cited by-同舟云学术

Automated Quality Assessment for Compressed Vibrotactile Signals Using Multi-Method Assessment Fusion

Published:2022-03-21 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Haptics Symposium (HAPTICS)
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Author:

Noll Andreas¹,Hofbauer Markus¹,Muschter Evelyn²,Li Shu-Chen²,Steinbach Eckehard²

Affiliation:

1. Munich Institute of Robotics and Machine Intelligence (MIRMI), Technical University of Munich,Department of Electrical and Computer Engineering,Munich,Germany,80333

2. Chair of Lifespan Developmental Neuroscience, Technische Universität Dresden,Dresden,Germany,01062

Funder

German Research Foundation (DFG, Deutsche Forschungsgemeinschaft)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9765562/9765563/09765599.pdf?arnumber=9765599

Reference17 articles.

1. Subjective Evaluation of the Spectral Temporal SIMilarity (ST-SIM) Measure for Vibrotactile Quality Assessment

2. Haptic codecs for the Tactile Internet

3. Tactile Displays: Guidance for Their Design and Application

4. A fusion-based video quality assessment (fvqa) index

5. EVQA: An ensemble-learning-based video quality assessment index

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