arrow
返回

A patterned vibrotactile method using envelope modulation with high resolution and low perceptual frequency

delete2024-07-01
delete0
PRE
AI
H
Hangyu Li
周
周丽 (Li Zhou) *
Y
Yongmao Pei *
DOI:10.1016/j.ymssp.2024.111472delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
The virtual haptics is a crucial aspect of immersive virtual reality, extending the traditional experiences of sight and hearing. The vibration can provide direct normal vibration and friction reduction, making it a promising method to realize virtual haptics. However, the optimum perceptual threshold of skin for vibration is 100 Hz to 500 Hz, resulting in a too low vibrotactile resolution. The conflict between the low perceptual frequency and high resolution still remains challenges. In this paper, a low-frequency envelope wave methodology is proposed to realize the localized vibrotactile feedback. The high-frequency components are modulated into a lowfrequency envelope waveform, which provides low-frequency perception and high resolution at the same time. Due to hardware limitations, the modes must be truncated and minimized as much as possible. This requirement conflicts with achieving localized vibration at arbitrary points and further implementing complex vibration patterns. Therefore, a modal optimization algorithm is proposed to solve the inverse problem. The modal participation coefficients is obtained, basing on the evaluation index that ensures the frequency of the envelope wave and the vibration pattern quality. The localized vibration patterns including multiple points, points of proportional amplitude, bar and circle are achieved with a resolution of 3 cm and a perception frequency of about 200 Hz. This method is expected to be applied to virtual reality, blind assistance, and other potential applications to enhance tactile interaction experiences.
Keyword:
Modal synthesis
Envelope modulation
Localized vibration
Virtual haptic

期刊

Mechanical Systems and Signal Processing 封面图
Mechanical Systems and Signal Processing
IF:
8.9
论文数:
1.3W
被引数:
6.6W

机构

B
beijing institute of technology
学者数:
5.5W
论文数: 4.0W
被引数: 63
P
peking university
学者数:
11.9W
论文数: 8.7W
被引数: 146
引用论文

引用论文

Understanding Peer Feedback Contributions Using Natural Language Processing
err2023-08-28
err0
errOAAI
errMayara Simões de Oliveira Castro; Rafael Ferreira Mello; Giuseppe Fiorentino; Olga Viberg; Daniel Spikol; Martine Baars; Dragan Gašević
err分享
err收藏
Ultrasound as a safe and reliable guidance for subarachnoid puncture in rabbits
err2017-01-01
err0
errOAAI
errIvan Dias Fernandes Pereira; Roberto Bezerra Vital; Ronaldo Silva; Felipe Gilberto Valerini; Vania Maria de Vasconcelos Machado; Mariangela Esrher Marques; Helio Miot; Lais Helena Navarro; Eliana Marisa Ganem
err分享
err收藏
Reverse time migration of acoustic waves for imaging based defects detection for concrete and CFST structures
err2019-02-01
err73
PREAI
errLiu, Hai; Xia, Huiyan; Zhuang, Mingwei; Long, Zhijun; Liu, Chao; Cui, Jie; Xu, Bin; Hu, Qunfang; Liu, Qing Huo
err分享
err收藏
Uncovering Associations Between Cognitive Presence and Speech Acts: A Network-Based Approach
err2022-03-21
err0
PREAI
errSehrish Iqbal; Zachari Swiecki; Srecko Joksimovic; Rafael Ferreira Mello; Naif Aljohani; Saeed Ul Hassan; Dragan Gasevic
err分享
err收藏
学者 查看更多内容