Cruise Control for Pedestrians: Controlling Walking Direction using Electrical Muscle Stimulation

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

  • Max Pfeiffer
  • Tim Dünte
  • Stefan Schneegass
  • Florian Alt
  • Michael Rohs

External Research Organisations

  • University of Stuttgart
  • Ludwig-Maximilians-Universität München (LMU)
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Details

Original languageEnglish
Title of host publicationCHI '15
Subtitle of host publicationProceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Pages2505-2514
Number of pages10
ISBN (electronic)9781450331456
Publication statusPublished - 18 Apr 2015
Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015 - Seoul, Korea, Republic of
Duration: 18 Apr 201523 Apr 2015

Abstract

Pedestrian navigation systems require users to perceive, interpret, and react to navigation information. This can tax cognition as navigation information competes with information from the real world. We propose actuated navigation, a new kind of pedestrian navigation in which the user does not need to attend to the navigation task at all. An actuation signal is directly sent to the human motor system to influence walking direction. To achieve this goal we stimulate the sartorius muscle using electrical muscle stimulation. The rotation occurs during the swing phase of the leg and can easily be counteracted. The user therefore stays in control. We discuss the properties of actuated navigation and present a lab study on identifying basic parameters of the technique as well as an outdoor study in a park. The results show that our approach changes a user's walking direction by about 16/m on average and that the system can successfully steer users in a park with crowded areas, distractions, obstacles, and uneven ground.

Keywords

    Actuated navigation, Electrical muscle stimulation, Haptic feedback, Pedestrian navigation, Wearable devices

ASJC Scopus subject areas

Cite this

Cruise Control for Pedestrians: Controlling Walking Direction using Electrical Muscle Stimulation. / Pfeiffer, Max; Dünte, Tim; Schneegass, Stefan et al.
CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2015. p. 2505-2514.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Pfeiffer, M, Dünte, T, Schneegass, S, Alt, F & Rohs, M 2015, Cruise Control for Pedestrians: Controlling Walking Direction using Electrical Muscle Stimulation. in CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), pp. 2505-2514, 33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015, Seoul, Korea, Republic of, 18 Apr 2015. https://doi.org/10.1145/2702123.2702190
Pfeiffer, M., Dünte, T., Schneegass, S., Alt, F., & Rohs, M. (2015). Cruise Control for Pedestrians: Controlling Walking Direction using Electrical Muscle Stimulation. In CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2505-2514). Association for Computing Machinery (ACM). https://doi.org/10.1145/2702123.2702190
Pfeiffer M, Dünte T, Schneegass S, Alt F, Rohs M. Cruise Control for Pedestrians: Controlling Walking Direction using Electrical Muscle Stimulation. In CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM). 2015. p. 2505-2514 doi: 10.1145/2702123.2702190
Pfeiffer, Max ; Dünte, Tim ; Schneegass, Stefan et al. / Cruise Control for Pedestrians : Controlling Walking Direction using Electrical Muscle Stimulation. CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM), 2015. pp. 2505-2514
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title = "Cruise Control for Pedestrians: Controlling Walking Direction using Electrical Muscle Stimulation",
abstract = "Pedestrian navigation systems require users to perceive, interpret, and react to navigation information. This can tax cognition as navigation information competes with information from the real world. We propose actuated navigation, a new kind of pedestrian navigation in which the user does not need to attend to the navigation task at all. An actuation signal is directly sent to the human motor system to influence walking direction. To achieve this goal we stimulate the sartorius muscle using electrical muscle stimulation. The rotation occurs during the swing phase of the leg and can easily be counteracted. The user therefore stays in control. We discuss the properties of actuated navigation and present a lab study on identifying basic parameters of the technique as well as an outdoor study in a park. The results show that our approach changes a user's walking direction by about 16/m on average and that the system can successfully steer users in a park with crowded areas, distractions, obstacles, and uneven ground.",
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AU - Schneegass, Stefan

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