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6. Cross-Modal Communication Prototype System

  • 2026
  • OriginalPaper
  • Chapter
Published in:
Authors
Xin Wei
Dan Wu
Liang Zhou
Published in
Cross-Modal Communication Technology
Publisher
Springer Nature Switzerland

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Abstract

This chapter delves into the VisTouch dataset, a large-scale multi-modal database designed for cross-modal communication research. The dataset includes audio, visual, and haptic data collected using a robotic arm equipped with various sensors. The data collection process is meticulously described, emphasizing the use of a robotic arm to simulate human touch and capture haptic signals. The chapter also explores the applications of the VisTouch dataset in human-machine interaction and skill training, such as virtual acupuncture skill training and remote throat swab sampling. The dataset's unique features, including its multi-modal approach and the use of sliding friction force as a haptic signal, are highlighted. The chapter concludes with a comparison of VisTouch with existing datasets, demonstrating its potential to advance research in cross-modal communication and related fields.
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previous chapter Cross-Modal Signal Recovery
next chapter Extended Techniques
Title
Cross-Modal Communication Prototype System
Authors
Xin Wei
Dan Wu
Liang Zhou
Copyright Year
2026
Book
Cross-Modal Communication Technology

Print ISBN: 978-3-032-00956-2

Electronic ISBN: 978-3-032-00957-9

Copyright Year: 2026

DOI
https://doi.org/10.1007/978-3-032-00957-9_6
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