Theoretical and Natural Science
- The Open Access Proceedings Series for Conferences
Vol. 17, 04 December 2023
* Author to whom correspondence should be addressed.
Vibrotactile feedback technology can convey a variety of information by adjusting the duration, frequency and intensity of vibration, thereby improving user perception, enhancing user experience, providing reminders and notifications, realising accessible applications and meeting the needs of diverse application scenarios. This paper first describes the principle of vibrotactile feedback, and explains in depth how the human tactile sensory system can simulate different tactile sensations. Next, the article explores wearable device materials that can help with better vibration perception and more comfortable motion fit, as well as the evolution and improvement of different types of haptic feedback devices. Finally, application scenarios of vibro-haptic feedback devices in healthcare and education are presented, such as exercising patients’ muscles and helping students learn better through immersive learning through vibro-haptic feedback device models. The research in this paper has an important reference value for the future research and application of human-computer interaction sensors, and we believe that vibrotactile feedback devices will be more widely used and promoted in the future.
Vibration, Haptic Feedback, Tactile Sensations
1. Said G R E 2023 Electronics 12 1379
2. Al-Ansi A M, Jaboob M, Garad A and Al-Ansi A .2023 SSHO 8 100532.
3. Hong Z Y, Zhou K H, Sui J F and Ji L H 2015 Space Medicine & Medical Engineering 28 5
4. Hao F 2014 Southeast University
5. Díaz Tribaldos M R, Escobar ocampo J M and Vivas Albán S A 2015 Revista EIA 23 29
6. Khosravi H, Etemad K and Samavati F F. 2022 Computers & Graphics 102 120
7. Zhang S P, Rana S S, Bhatta T, Pradhan G B, Sharma S, Song H, Jeong S and Park J Y 2023 Nano Energy 106 108110
8. Mo Y T, Song A G, Qin H H and Yu Y Q.2018 Chinese Journal of Scientific Instrument 39 188
9. Shull P B, Tan T, Culbertson H M, Zhu X Y and Okamura A M 2019 IEEE T HAPTICS 12 247
10. Yan Y C, Wu C C, Cao Q Q, Yang D H, Fei F and. Song A G 2020 Measurement & Control Technology 39 36
11. Bae S and Park H S 2023 IEEE T NEUR SYS REH 31 3732
12. Qu X S, Sun Y L, Shen Y, and Pan J J. 2021 .Journal of Distance Education 039 24
13. Trinitatova D and Tsetserukou D 2023 IEEE T HAPTICS
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:
1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).