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Demonstrating How to Increase the Dexterity of Electrical Muscle Stimulation using Back of the Hand Actuation

Published: 08 May 2021 Publication History

Abstract

We demonstrate a technique that allows an unprecedented level of dexterity in electrical muscle stimulation (EMS), i.e., it allows interactive EMS-based devices to flex the user's fingers independently of each other. EMS is a promising technique for force feedback because of its small form factor when compared to mechanical actuators. However, the current EMS approach to flexing the user's fingers (i.e., attaching electrodes to the base of the forearm, where finger muscles anchor) cannot flex one finger alone at the metacarpophalangeal (MCP) joint, they always induce unwanted actuation to adjacent fingers. To tackle the lack of dexterity, we propose a new electrode layout that places the electrodes on the back of the hand, where they stimulate the interossei/lumbricals muscles in the palm, which have never received attention with regards to EMS. We demonstrate the improved dexterity with a series of EMS-assisted music applications for playing piano, drums, and guitar.

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References

[1]
O. Sandoval-Gonzalez, “Design and Development of a Hand Exoskeleton Robot for Active and Passive Rehabilitation,” Int. J. Adv. Robot. Syst., vol. 13, no. 2, p. 66, Mar. 2016.
[2]
A. Ebisu, S. Hashizume, and Y. Ochiai, “Building a feedback loop between electrical stimulation and percussion learning,” in ACM SIGGRAPH 2018 Studio, Vancouver, British Columbia, Canada, Aug. 2018, pp. 1–2.
[3]
A. Ebisu, S. Hashizume, K. Suzuki, A. Ishii, M. Sakashita, and Y. Ochiai, “Stimulated percussions: method to control human for learning music by using electrical muscle stimulation,” in Proceedings of the 8th Augmented Human International Conference on - AH ’17, Silicon Valley, California, 2017, pp. 1–5.
[4]
P. Lopes, P. Jonell, and P. Baudisch, “Affordance++: Allowing Objects to Communicate Dynamic Use,” in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, New York, NY, USA, Apr. 2015, pp. 2515–2524.
[5]
P. Lopes, A. Ion, W. Mueller, D. Hoffmann, P. Jonell, and P. Baudisch, “Proprioceptive Interaction,” in Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, New York, NY, USA, Apr. 2015, pp. 939–948.
[6]
P. Lopes, D. Yüksel, F. Guimbretière, and P. Baudisch, “Muscle-plotter: An Interactive System based on Electrical Muscle Stimulation that Produces Spatial Output,” in Proceedings of the 29th Annual Symposium on User Interface Software and Technology, Tokyo, Japan, Oct. 2016, pp. 207–217.
[7]
E. Tamaki, T. Miyaki, and J. Rekimoto, “PossessedHand: techniques for controlling human hands using electrical muscles stimuli,” in Proceedings of the 2011 annual conference on Human factors in computing systems - CHI ’11, Vancouver, BC, Canada, 2011, p. 543.
[8]
A. Takahashi, J. Brooks, H. Kajimoto, and P. Lopes, “Increasing Electrical Muscle Stimulation's Dexterity by means of Back of the Hand Actuation,” presented at the CHI Conference on Human Factors in Computing Systems (CHI ’21), Yokohama, Japan, May 2021.
[9]
M. Schünke, E. Schulte, U. Schumacher, and E. D. Lamperti, Thieme Atlas of Anatomy: Latin Nomenclature: General Anatomy and Musculoskeletal System. Thieme, 2006.

Cited By

View all
  • (2024)Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer InteractionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642585(1-16)Online publication date: 11-May-2024
  • (2022)From Perception to Action: A Review and Taxonomy on Electrical Muscle Stimulation in HCIProceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia10.1145/3568444.3568460(159-171)Online publication date: 27-Nov-2022

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Published In

cover image ACM Conferences
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems
May 2021
2965 pages
ISBN:9781450380959
DOI:10.1145/3411763
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 May 2021

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Author Tags

  1. EMS
  2. Electrical muscle stimulation
  3. dexterity
  4. haptic actuation

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  • Demonstration
  • Research
  • Refereed limited

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CHI '21
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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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CHI 2025
ACM CHI Conference on Human Factors in Computing Systems
April 26 - May 1, 2025
Yokohama , Japan

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Cited By

View all
  • (2024)Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer InteractionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642585(1-16)Online publication date: 11-May-2024
  • (2022)From Perception to Action: A Review and Taxonomy on Electrical Muscle Stimulation in HCIProceedings of the 21st International Conference on Mobile and Ubiquitous Multimedia10.1145/3568444.3568460(159-171)Online publication date: 27-Nov-2022

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