Improving Electromyographic Muscle Response Times through Visual and Tactile Prior Stimulation in Virtual Reality

被引:1
作者
Sehrt, Jessica [1 ]
Ferreira, Leonardo Leite [1 ]
Weyers, Karsten [1 ]
Mahmood, Amir [1 ]
Kosch, Thomas [2 ]
Schwind, Valentin [1 ]
机构
[1] Frankfurt Univ Appl Sci, Frankfurt, Germany
[2] Humboldt Univ, Berlin, Germany
来源
PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2024 | 2024年
关键词
Physiological Sensing; Electromyography; Electrical Muscle Stimulation; Virtual Reality; Assistive Systems; ELECTRICAL-STIMULATION; VIBROTACTILE FEEDBACK; EMG; BIOFEEDBACK; INHIBITION; ACTIVATION; MANAGEMENT; VIBRATION; STRENGTH; TENDONS;
D O I
10.1145/3613904.3642091
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Electromyography (EMG) enables hands-free interactions by detecting muscle activity at different human body locations. Previous studies have demonstrated that input performance based on isometric contractions is muscle-dependent and can benefit from synchronous biofeedback. However, it remains unknown whether stimulation before interaction can help to localize and tense a muscle faster. In a response-based VR experiment (N=21), we investigated whether prior stimulation using visual or tactile cues at four different target muscles (biceps, triceps, upper leg, calf) can help reduce the time to perform isometric muscle contractions. The results show that prior stimulation decreases EMG reaction times with visual, vibrotactile, and electrotactile cues. Our experiment also revealed important findings regarding learning and fatigue at the different body locations. We provide qualitative insights into the participants' perceptions and discuss potential reasons for the improved interaction. We contribute with implications and use cases for prior stimulated muscle activation.
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页数:17
相关论文
共 140 条
[21]   Augmented reality-assisted training with selected Tai-Chi movements improves balance control and increases lower limb muscle strength in older adults: A prospective randomized trial [J].
Chen, Po-Jung ;
Penn, I-Wen ;
Wei, Shun-Hwa ;
Chuang, Long-Ren ;
Sung, Wen-Hsu .
JOURNAL OF EXERCISE SCIENCE & FITNESS, 2020, 18 (03) :142-147
[22]   Effects of isometric exercise using biofeedback on maximum voluntary isometric contraction, pain, and muscle thickness in patients with knee osteoarthritis [J].
Choi, Yun Lak ;
Kim, Bo Kyung ;
Hwang, Yong Pil ;
Moon, Ok Kon ;
Choi, Wan Suk .
JOURNAL OF PHYSICAL THERAPY SCIENCE, 2015, 27 (01) :149-153
[23]  
Christopoulos D.T., 2016, INT J MATH SCI COMPU, V6, P2231
[24]  
Christopoulos DT., 2014, ARXIV
[25]  
Corniani G., Tactile innervation densities across the whole body, DOI DOI 10.1101/2020.04.27.063263
[26]  
Costanza E, 2007, CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, VOLS 1 AND 2, P819
[27]   Onset detection in surface electromyographic signals across isometric explosive and ramped contractions: a comparison of computer-based methods [J].
Crotty, Evan D. ;
Furlong, Laura-Anne M. ;
Hayes, Kevin ;
Harrison, Andrew J. .
PHYSIOLOGICAL MEASUREMENT, 2021, 42 (03)
[28]   A somatotopic bidirectional hand prosthesis with transcutaneous electrical nerve stimulation based sensory feedback [J].
D'Anna, Edoardo ;
Petrini, Francesco M. ;
Artoni, Fiorenzo ;
Popovic, Igor ;
Simanic, Igor ;
Raspopovic, Stanisa ;
Micera, Silvestro .
SCIENTIFIC REPORTS, 2017, 7
[29]   HFX Studio: Haptic Editor for Full-body Immersive Experiences [J].
Danieau, Fabien ;
Guillotel, Philippe ;
Dumas, Olivier ;
Lopez, Thomas ;
Leroy, Bertrand ;
Mollet, Nicolas .
24TH ACM SYMPOSIUM ON VIRTUAL REALITY SOFTWARE AND TECHNOLOGY (VRST 2018), 2018,
[30]   The use of surface electromyography in biomechanics [J].
De Luca, CJ .
JOURNAL OF APPLIED BIOMECHANICS, 1997, 13 (02) :135-163