Increasing Electrical Muscle Stimulation's Dexterity by means of Back of the Hand Actuation

Takahashi, Akifumi; Brooks, Jas; Kajimoto, Hiroyuki; Lopes, Pedro

doi:10.1145/3411764.3445761

Cited by 35 publications

(6 citation statements)

References 60 publications

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“…Additionally, EMS has been researched for sharing body movement information between humans. EMS actuation systems mainly focus on methods of controlling fingers (Nith et al, 2021;Takahashi et al, 2021;Tamaki et al, 2011Tamaki et al, , 2010. EMS can actuate each finger independently (Takahashi et al, 2021).…”

Section: Related Workmentioning

confidence: 99%

“…EMS actuation systems mainly focus on methods of controlling fingers (Nith et al, 2021;Takahashi et al, 2021;Tamaki et al, 2011Tamaki et al, , 2010. EMS can actuate each finger independently (Takahashi et al, 2021). Controlling other people's fingers was used as a remote conversation tool by Hanagata and Kakehi (2018).…”

Section: Related Workmentioning

confidence: 99%

“…In this study, we focused on the fingertip motion because many EMS research studies have focused on finger motions (Nith et al, 2021;Takahashi et al, 2021;Tamaki et al, 2011Tamaki et al, , 2010. The goal of the study was to develop a system that can adjust the EMS parameters for individuals when sharing experiences with stimulation by sensing the degree of muscle contraction during electrical stimulation.…”

Section: Objectivementioning

confidence: 99%

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Feedback Method of Force Controlled by Electrical Muscle Stimulation Based on Infrared Optical Sensing

Hosono¹,

Miyake²,

Miyake³

et al. 2022

Front. Virtual Real.

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The goal of the study was to develop a system that can adjust the electrical muscle stimulation parameters for individuals when sharing experiences with stimulation by sensing the degree of muscle contraction during electrical stimulation. If we do not know the appropriate amount of current for stimulation for an individual, the muscles would not contract as we aimed, and we will not be able to share the experience as we expected. In this study, we presented a system estimating fingertip force as the output of electrical muscle stimulation by monitoring the muscle state based on infrared optical sensing for adjusting electrical muscle stimulation parameters for the individual. We developed a regression model based on support vector regression during electrical stimulation using an infrared optical sensor with seven people's data to estimate the pushing force. The coefficient of determination between the measured pushing force and estimated pushing force was greater than 0.8 and 0.9 for the index and middle fingers, respectively. The system can monitor a feedback value of electrical muscle stimulation fingertip control. The system showed the feasibility of infrared optical sensing for the closed-loop feedback control system of the electrical stimulation parameters for an individual.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Objectivementioning

confidence: 99%

See 1 more Smart Citation

Feedback Method of Force Controlled by Electrical Muscle Stimulation Based on Infrared Optical Sensing

Hosono¹,

Miyake²,

Miyake³

et al. 2022

Front. Virtual Real.

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“…There are many other studies to improve the reality of haptics [ 13 , 14 , 15 ]. Many studies use EMS to support people [ 16 , 17 ], such as teaching how to play musical instruments [ 18 ] and training [ 19 ]. Most HCI research about EMS with AR only treats the augmentation of vision.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Electric Muscle Stimulation Method for Haptic Augmented Reality

Ishimaru

Saga

2023

Sensors

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Currently, visual Augmented Reality (AR) technology is widespread among the public. Similarly, haptic AR technology is also widely practiced in the academic field. However, conventional haptic AR devices are not suitable for interacting with real objects. These devices are often held by the users, and they contact the real object via the devices. Thus, they prevent direct contact between the user and real objects. To solve this problem, we proposed employing Electrical Muscle Stimulation (EMS) technology. EMS technology does not interfere with the interaction between the user and the real object, and the user can wear the device. First, we examined proper stimulus waveforms for EMS, in addition to pulse waveforms. At the same time, we examined the appropriate frequency and pulse width. The waveforms that we used this time were a sawtooth wave, a reverse sawtooth wave, and a sine wave. Second, to clarify the characteristic of the force presented by the EMS, we measured the relationship between the input voltage and the force presented and obtained the point of subjective equality using the constant method. Subsequently, we presented the bump sensation using EMS to the participants and verified its effectiveness by comparing it with the existing methods.

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“…Another perspective that is often overlooked is the design of personal health sensing devices. Apart from the "functional" aspect of the device design, such as customizing the shape for ensuring constant contact to the measured area [2], and altering measuring locations for capturing better biomedical signals [19], the form factors and appearance of the device also have impacts over user's self-esteem and even mental health [18]. Like other everyday personal belongings, personal health sensing devices design should consider user's artistic needs and the effects on the user's mental state.…”

Section: Introductionmentioning

confidence: 99%

SIG: Towards More Personal Health Sensing

Zhu

Nishida

et al. 2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

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With the development of low-cost electronics, rapid prototyping techniques, as well as widely available mobile devices (e.g. mobile phones, smart watches), projects related to the design and fabrication of personal health sensing applications, either on top of existing device platforms (e.g. mHealth), or as stand-alone devices, have emerged in the last decade. In addition, recent advances in novel sensing and interface technologies, accessibility studies and system design open up new possibilities and can bring in different perspectives for personal health sensing. We believe that joining the forces in such interdisciplinary work is a key to moving the field of personal health sensing forward. This Special Interest Group aims to bring in researchers from different fields, identify the significance and challenges of the personal health sensing domain, discuss potential solutions and future research directions, and promote collaborative research opportunities. CCS CONCEPTS• Human-centered computing → Interactive systems and tools; Ubiquitous and mobile devices; Accessibility systems and tools.

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Increasing Electrical Muscle Stimulation's Dexterity by means of Back of the Hand Actuation

Cited by 35 publications

References 60 publications

Feedback Method of Force Controlled by Electrical Muscle Stimulation Based on Infrared Optical Sensing

Feedback Method of Force Controlled by Electrical Muscle Stimulation Based on Infrared Optical Sensing

Evaluation of Electric Muscle Stimulation Method for Haptic Augmented Reality

SIG: Towards More Personal Health Sensing

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