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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
*Email: ysuzuki@nagoya-u.jp; www.ysuzuki.info
Corresponding Author
Yasuhiro Suzuki
Received 11 November 2019, Accepted 22 May 2020, Available Online 3 June 2020.
- DOI
- 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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Cite this article
TY - JOUR AU - Yasuhiro Suzuki PY - 2020 DA - 2020/06/03 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 - 10.2991/jrnal.k.200528.015 ID - Suzuki2020 ER -