Multi-touch steering wheel for in-car tertiary applications using infrared sensors

Shunsuke Koyama, Yuta Sugiura, Masa Ogata, Anusha Withana, Yuji Uema, Makoto Honda, Sayaka Yoshizu, Chihiro Sannomiya, Kazunari Nawa, Masahiko Inami

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

8 Citations (Scopus)

Abstract

This paper proposes a multi-touch steering wheel for in-car tertiary applications. Existing interfaces for in-car applications such as buttons and touch displays have several operating problems. For example, drivers have to consciously move their hands to the interfaces as the interfaces are fixed on specific positions. Therefore, we developed a steering wheel where touch positions can correspond to different operating positions. This system can recognize hand gestures at any position on the steering wheel by utilizing 120 infrared (IR) sensors embedded in it. The sensors are lined up in an array surrounding the whole wheel. An Support Vector Machine (SVM) algorithm is used to learn and recognize the different gestures through the data obtained from the sensors. The gestures recognized are flick, click, tap, stroke and twist. Additionally, we implemented a navigation application and an audio application that utilizes the torus shape of the steering wheel. We conducted an experiment to observe the possibility of our proposed system to recognize flick gestures at three positions. Results show that an average of 92% of flick could be recognized.

Original languageEnglish
Title of host publicationProceedings of the 5th Augmented Human International Conference, AH 2014
PublisherAssociation for Computing Machinery
ISBN (Print)9781450327619
DOIs
Publication statusPublished - 2014 Jan 1
Externally publishedYes
Event5th Augmented Human International Conference, AH 2014 - Kobe, Japan
Duration: 2014 Mar 72014 Mar 8

Publication series

NameACM International Conference Proceeding Series

Other

Other5th Augmented Human International Conference, AH 2014
CountryJapan
CityKobe
Period14/3/714/3/8

Keywords

  • Automobile
  • Gesture Recognition
  • Infrared Sensor
  • Interaction Design
  • Multi-touch
  • Torus Interface

ASJC Scopus subject areas

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

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  • Cite this

    Koyama, S., Sugiura, Y., Ogata, M., Withana, A., Uema, Y., Honda, M., Yoshizu, S., Sannomiya, C., Nawa, K., & Inami, M. (2014). Multi-touch steering wheel for in-car tertiary applications using infrared sensors. In Proceedings of the 5th Augmented Human International Conference, AH 2014 [a5] (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2582051.2582056