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Title:

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

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Noll, Andreas; Hofbauer, Markus; Muschter, Evelyn; Li, Shu-Chen; Steinbach, Eckehard
Abstract:
Design and optimization of vibrotactile codecs require precise measurements of the compressed signals’ perceptual quality. In this paper, we present two computational approaches for estimating vibrotactile signal quality. First, we propose a novel full-reference vibrotactile quality metric called Spectral Perceptual Quality Index (SPQI), which computes a similarity score based on a computed perceptually weighted error measure. Second, we use the concept of Multi-Method Assessment Fusion (MAF) to...     »
Book / Congress title:
IEEE Haptics Symposium 2022
Date of congress:
21.03.2022
Year:
2022
Month:
Mar
Semester:
WS 21-22
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