PossessedHand: A hand gesture manipulation system using electrical stimuli

Emi Tamaki*, Takashi Miyaki, Jun Rekimoto

*Corresponding author for this work

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

13 Citations (Scopus)

Abstract

Acquiring knowledge about the timing and speed of hand gestures is important to learn physical skills, such as playing musical instruments, performing arts, and making handicrafts. However, it is difficult to use devices that dynamically and mechanically control a user's hand for learning because such devices are very large, and hence, are unsuitable for daily use. In addition, since groove-type devices interfere with actions such as playing musical instruments, performing arts, and making handicrafts, users tend to avoid wearing these devices. To solve these problems, we propose PossessedHand, a device with a forearm belt, for controlling a user's hand by applying electrical stimulus to the muscles around the forearm of the user. The dimensions of PossessedHand are 10 x 7.0 x 8.0 cm, and the device is portable and suited for daily use. The electrical stimuli are generated by an electronic pulse generator and transmitted from 14 electrode pads. Our experiments confirmed that PossessedHand can control the motion of 16 joints in the hand. We propose an application of this device to help a beginner learn how to play musical instruments such as the piano and koto.

Original languageEnglish
Title of host publicationProceedings of the 1st Augmented Human International Conference, AH '10
DOIs
Publication statusPublished - 2010
Event1st Augmented Human International Conference, AH'10 - Megeve, France
Duration: 2010 Apr 22010 Apr 3

Publication series

NameACM International Conference Proceeding Series

Conference

Conference1st Augmented Human International Conference, AH'10
Country/TerritoryFrance
CityMegeve
Period10/4/210/4/3

Keywords

  • electrical stimuli
  • hand gesture
  • interaction device
  • output device
  • wearable

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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