Artificial motion guidance

An Intuitive Device based on Pneumatic Gel Muscle (PGM)

Takashi Goto, Yuichi Kurita, Swagata Das, Kai Steven Kunze

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We present a wearable soft exoskeleton sleeve based on PGM. The sleeve consists of 4 PGMs controlled by a computing system and can actuate 4 different movements (wrist extension, flexion, pronation and supination). Depending on how strong the actuation is, the user feels a slight force (haptic feedback) or the hand moves (if the users relaxes the muscles). The paper gives details about the system implementation, the interaction space and some ideas about application scenarios.

Original languageEnglish
Title of host publicationUIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages182-184
Number of pages3
ISBN (Electronic)9781450359498
DOIs
Publication statusPublished - 2018 Oct 11
Event31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018 - Berlin, Germany
Duration: 2018 Oct 142018 Oct 17

Other

Other31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018
CountryGermany
CityBerlin
Period18/10/1418/10/17

Fingerprint

Pneumatics
Muscle
Gels
Feedback

Keywords

  • Haptics and Haptic Interfaces
  • Pneumatic Artificial Muscles (PAMs)
  • Wearable Devices

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Goto, T., Kurita, Y., Das, S., & Kunze, K. S. (2018). Artificial motion guidance: An Intuitive Device based on Pneumatic Gel Muscle (PGM). In UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology (pp. 182-184). Association for Computing Machinery, Inc. https://doi.org/10.1145/3266037.3271644

Artificial motion guidance : An Intuitive Device based on Pneumatic Gel Muscle (PGM). / Goto, Takashi; Kurita, Yuichi; Das, Swagata; Kunze, Kai Steven.

UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2018. p. 182-184.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Goto, T, Kurita, Y, Das, S & Kunze, KS 2018, Artificial motion guidance: An Intuitive Device based on Pneumatic Gel Muscle (PGM). in UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, pp. 182-184, 31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018, Berlin, Germany, 18/10/14. https://doi.org/10.1145/3266037.3271644
Goto T, Kurita Y, Das S, Kunze KS. Artificial motion guidance: An Intuitive Device based on Pneumatic Gel Muscle (PGM). In UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. 2018. p. 182-184 https://doi.org/10.1145/3266037.3271644
Goto, Takashi ; Kurita, Yuichi ; Das, Swagata ; Kunze, Kai Steven. / Artificial motion guidance : An Intuitive Device based on Pneumatic Gel Muscle (PGM). UIST 2018 Adjunct - Adjunct Publication of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2018. pp. 182-184
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