poster

Study on Control Method of Virtual Food Texture by Electrical Muscle Stimulation

Authors:

Arinobu Niijima,

Takefumi OgawaAuthors Info & Claims

UIST '16 Adjunct: Adjunct Proceedings of the 29th Annual ACM Symposium on User Interface Software and Technology

Pages 199 - 200

https://doi.org/10.1145/2984751.2984768

Published: 16 October 2016 Publication History

Get Access

Abstract

We propose Electric Food Texture System, which can present virtual food texture such as hardness and elasticity by electrical muscle stimulation (EMS) to the masseter muscle. In our previous study, we investigated the feasibility to detect user's bite with a photoreflector and that to construct database of food texture with electromyography sensors. In this paper, we investigated the feasibility to control virtual food texture by EMS. We conducted an experiment to reveal the relationship of the parameters of EMS and those of virtual food texture. The experimental results show that the higher strength of EMS is, the harder virtual food texture is, and the longer duration of EMS is, the more elastic virtual food texture is.

References

[1]

Hirose, M., Iwazaki, K., Nojiri, K., Takeda, M., Sugiura, Y., and Inami, M. Gravitamine spice: a system that changes the perception of eating through virtual weight sensation. In Proceedings of the Augmented Human International Conference, ACM (2015), 33--40.

Digital Library

Google Scholar

[2]

Iwata, H., Yano, H., Uemura, T., and Moriya, T. Food simulator: A haptic interface for biting. In Proceedings of the Virtual Reality Conference, IEEE (2004), 51--57.

Digital Library

Google Scholar

[3]

Koizumi, N., Tanaka, H., Uema, Y., and Inami, M. Chewing jockey: augmented food texture by using sound based on the cross-modal effect. In Proceedings of the International Conference on Advances in Computer Entertainment Technology, ACM (2011), 21:1--21:4.

Digital Library

Google Scholar

[4]

Niijima, A., and Ogawa, T. A proposal of virtual food texture by electric muscle stimulation. In Proceedings of the 8th Workshop on Multimedia for Cooking and Eating Activities, IEEE (2016).

Crossref

Google Scholar

[5]

Nishinari, K., Kohyama, K., Kumagai, H., Funami, T., and Bourne, M. C. Parameters of texture profile analysis. Food Science and Technology Research 19, 3 (2013), 519--521.

Crossref

Google Scholar

[6]

Pfeiffer, M., Schneegass, S., Alt, F., and Rohs, M. Let me grab this: A comparison of ems and vibration for haptic feedback in free-hand interaction. In Proceedings of the 5th Augmented Human International Conference, ACM (2014), 48:1--48:8.

Digital Library

Google Scholar

Cited By

View all

Fang HWeng DTian Z(2023)A Parallel Multimodal Integration Framework and Application for Cake ShoppingApplied Sciences10.3390/app1401029914:1(299)Online publication date: 29-Dec-2023
https://doi.org/10.3390/app14010299
Bhavadharini BMonica VAnbarasan RMahendran R(2023)Virtual, augmented, and mixed reality as a versatile tool in food consumer behavior evaluation: Recent advances in aroma, taste, and texture incorporationComprehensive Reviews in Food Science and Food Safety10.1111/1541-4337.1324822:6(4925-4956)Online publication date: 13-Oct-2023
https://doi.org/10.1111/1541-4337.13248
Faltaous SKoelle MSchneegass S(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
https://dl.acm.org/doi/10.1145/3568444.3568460
Show More Cited By

Index Terms

Study on Control Method of Virtual Food Texture by Electrical Muscle Stimulation
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

Virtual food texture by electrical muscle stimulation
ISWC '16: Proceedings of the 2016 ACM International Symposium on Wearable Computers

We have previously proposed a novel method to present virtual food texture by using electrical muscle stimulation (EMS) to the masseter muscle, which is one of the muscles of mastication. Our system is "Electric Food Texture System" consisting of "bite ...
LegSense: Inducing Walking Sensation in Seated VR by Providing Movement Illusion via Electrical Muscle Stimulation
UbiComp '24: Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing

Providing convincing proprioceptive cues is essential for immersive virtual reality (VR) navigation. However, this is challenging for seated users with restricted mobility. To address this gap, this study proposes LegSense, a method designed to induce ...
Controlling Maximal Voluntary Contraction of the Upper Limb Muscles by Facial Electrical Stimulation
CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

In this paper, we propose to use facial electrical stimulation to control maximal voluntary contraction (MVC) of the upper limbs. The method is based on a body mechanism in which the contraction of the masseter muscles enhances MVC of the limb muscles. ...

Comments

Information & Contributors

Information

Published In

UIST '16 Adjunct: Adjunct Proceedings of the 29th Annual ACM Symposium on User Interface Software and Technology

October 2016

244 pages

ISBN:9781450345316

DOI:10.1145/2984751

General Chairs:
Jun Rekimoto
The University of Tokyo
,
Takeo Igarashi
The University of Tokyo
,
Program Chairs:
Jacob O. Wobbrock
University of Washington
,
Daniel Avrahami
FXPAL

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 October 2016

Check for updates

Author Tags

Qualifiers

Poster

Conference

UIST '16

Sponsor:

UIST '16: The 29th Annual ACM Symposium on User Interface Software and Technology

October 16 - 19, 2016

Tokyo, Japan

Acceptance Rates

UIST '16 Adjunct Paper Acceptance Rate 79 of 384 submissions, 21%;

Overall Acceptance Rate 355 of 1,733 submissions, 20%

Upcoming Conference

UIST '25

Sponsor:
sigchi
sigchi

The 38th Annual ACM Symposium on User Interface Software and Technology

September 28 - October 1, 2025

Busan , Republic of Korea

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
463
Total Downloads

Downloads (Last 12 months)48
Downloads (Last 6 weeks)8

Reflects downloads up to 26 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Fang HWeng DTian Z(2023)A Parallel Multimodal Integration Framework and Application for Cake ShoppingApplied Sciences10.3390/app1401029914:1(299)Online publication date: 29-Dec-2023
https://doi.org/10.3390/app14010299
Bhavadharini BMonica VAnbarasan RMahendran R(2023)Virtual, augmented, and mixed reality as a versatile tool in food consumer behavior evaluation: Recent advances in aroma, taste, and texture incorporationComprehensive Reviews in Food Science and Food Safety10.1111/1541-4337.1324822:6(4925-4956)Online publication date: 13-Oct-2023
https://doi.org/10.1111/1541-4337.13248
Faltaous SKoelle MSchneegass S(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
https://dl.acm.org/doi/10.1145/3568444.3568460
Gast OMakhkamova AWerth DFunk M(2021)Haptic Interaction for VR: Use-Cases for Learning and UX, Using the Example of the BMBF Project SmartHandsHCI in Business, Government and Organizations10.1007/978-3-030-77750-0_36(562-577)Online publication date: 24-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-77750-0_36
Speicher MHall BNebeling MBrewster SFitzpatrick GCox AKostakos V(2019)What is Mixed Reality?Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300767(1-15)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300767
Covaci AZou LTal IMuntean GGhinea G(2018)Is Multimedia Multisensorial? - A Review of Mulsemedia SystemsACM Computing Surveys10.1145/323377451:5(1-35)Online publication date: 4-Sep-2018
https://dl.acm.org/doi/10.1145/3233774

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Virtual food texture by electrical muscle stimulation

LegSense: Inducing Walking Sensation in Seated VR by Providing Movement Illusion via Electrical Muscle Stimulation

Controlling Maximal Voluntary Contraction of the Upper Limb Muscles by Facial Electrical Stimulation