Towards enhancing emotional responses to media using auto-calibrating electric muscle stimulation (EMS)

Takashi Goto, Benjamin Tag, Kai Steven Kunze, Tilman Dingler

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

We evaluate the use of Electric Muscle Stimulation (EMS) as a method of amplifying emotional responses to multimedia content. .is paper presents an auto-calibration method to stimulate two facial expressions using EMS. We focus on two expressions: frown and smile. We a.empted control of facial muscles with facial feedback for automatically calibrating these facial expressions: our computer vision system detects the facial expression and autocalibrates the EMS parameters (intensity and duration) based on the user's current facial expression. We present results from a pilot study with four participants evaluating the auto-calibration system and collecting initial feedback on the use of EMS to augment, for example, media experiences: while watching movies we can enhance the emotional response of the users during happy and sad scenes by stimulating corresponding face muscles.

本文言語English
ホスト出版物のタイトルProceedings of the 9th Augmented Human International Conference, AH 2018
出版社Association for Computing Machinery
Part F134484
ISBN(電子版)9781450354158
DOI
出版ステータスPublished - 2018 2 6
イベント9th Augmented Human International Conference, AH 2018 - Seoul, Korea, Republic of
継続期間: 2018 2 72018 2 9

Other

Other9th Augmented Human International Conference, AH 2018
CountryKorea, Republic of
CitySeoul
Period18/2/718/2/9

ASJC Scopus subject areas

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

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