MetaArmS: Body remapping using feet-controlled artificial arms

M. H.D. Yamen Saraiji, Tomoya Sasaki, Kai Steven Kunze, Kouta Minamizawa, Masahiko Inami

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

4 Citations (Scopus)

Abstract

We introduce MetaArms, wearable anthropomorphic robotic arms and hands with six degrees of freedom operated by the user's legs and feet. Our overall research goal is to re-imagine what our bodies can do with the aid of wearable robotics using a body-remapping approach. To this end, we present an initial exploratory case study. MetaArms' two robotic arms are controlled by the user's feet motion, and the robotic hands can grip objects according to the user's toes bending. Haptic feedback is also presented on the user's feet that correlate with the touched objects on the robotic hands, creating a closed-loop system. We present formal and informal evaluations of the system, the former using a 2D pointing task according to Fitts' Law. The overall throughput for 12 users of the system is reported as 1.01 bits/s (std 0.39). We also present informal feedback from over 230 users. We find that MetaArms demonstrate the feasibility of body-remapping approach in designing robotic limbs that may help us re-imagine what the human body could do.

Original languageEnglish
Title of host publicationUIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages65-74
Number of pages10
ISBN (Electronic)9781450359481
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

End effectors
Robotic arms
Robotics
Feedback
Closed loop systems
Throughput

Keywords

  • Artificial limbs
  • Augmented arms
  • Body remapping
  • Body schema
  • Feet interactions
  • Fitts' law
  • Human enhancement

ASJC Scopus subject areas

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

Cite this

Yamen Saraiji, M. H. D., Sasaki, T., Kunze, K. S., Minamizawa, K., & Inami, M. (2018). MetaArmS: Body remapping using feet-controlled artificial arms. In UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology (pp. 65-74). Association for Computing Machinery, Inc. https://doi.org/10.1145/3242587.3242665

MetaArmS : Body remapping using feet-controlled artificial arms. / Yamen Saraiji, M. H.D.; Sasaki, Tomoya; Kunze, Kai Steven; Minamizawa, Kouta; Inami, Masahiko.

UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2018. p. 65-74.

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

Yamen Saraiji, MHD, Sasaki, T, Kunze, KS, Minamizawa, K & Inami, M 2018, MetaArmS: Body remapping using feet-controlled artificial arms. in UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, pp. 65-74, 31st Annual ACM Symposium on User Interface Software and Technology, UIST 2018, Berlin, Germany, 18/10/14. https://doi.org/10.1145/3242587.3242665
Yamen Saraiji MHD, Sasaki T, Kunze KS, Minamizawa K, Inami M. MetaArmS: Body remapping using feet-controlled artificial arms. In UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. 2018. p. 65-74 https://doi.org/10.1145/3242587.3242665
Yamen Saraiji, M. H.D. ; Sasaki, Tomoya ; Kunze, Kai Steven ; Minamizawa, Kouta ; Inami, Masahiko. / MetaArmS : Body remapping using feet-controlled artificial arms. UIST 2018 - Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2018. pp. 65-74
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