Journal of Robotics, Networking and Artificial Life

Volume 7, Issue 2, September 2020, Pages 142 - 145

Method of Extracting Sensibility from Time Series Data and Converting it to Vibrotactile

Authors
Yasuhiro Suzuki*
Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Furocho, Chikusa, Ngoya City 464-8601, Japan
Corresponding Author
Yasuhiro Suzuki
Received 11 November 2019, Accepted 22 May 2020, Available Online 3 June 2020.
DOI
https://doi.org/10.2991/jrnal.k.200528.015How to use a DOI?
Keywords
Tactile Score, non-contact tactile, low-frequency sounds, deep micro vibrotactile
Abstract

We propose a method to convert sensory information into non-contact tactile sensation by vibrating of very low-frequency sound. The vibrator does not directly touch the object in a non-contact tactile sensation. Then, the object vibrates with the extremely low frequency. Previous research has shown that the resonance frequency of the chest and abdomen is about 10 Hz. Therefore, the chest and abdomen can vibrate in a non-contact manner by using the extremely low frequency of about 10 Hz. Until now, very low frequencies have hardly used in engineering. We propose new uses for embedding very low frequencies in sound such as a music; we name it the deep micro vibrotactile (DMV).

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
7 - 2
Pages
142 - 145
Publication Date
2020/06
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.k.200528.015How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Yasuhiro Suzuki
PY  - 2020
DA  - 2020/06
TI  - Method of Extracting Sensibility from Time Series Data and Converting it to Vibrotactile
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 142
EP  - 145
VL  - 7
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.200528.015
DO  - https://doi.org/10.2991/jrnal.k.200528.015
ID  - Suzuki2020
ER  -