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

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.

[1]  Robert Hardy,et al.  NaviRadar: a novel tactile information display for pedestrian navigation , 2011, UIST.

[2]  M. Molinari,et al.  Rehabilitation of gait after stroke: a review towards a top-down approach , 2011, Journal of NeuroEngineering and Rehabilitation.

[3]  Martin Pielot,et al.  PocketNavigator: vibro-tactile waypoint navigation for everyday mobile devices , 2010, Mobile HCI.

[4]  Tomohiro Amemiya,et al.  Shaking the world: galvanic vestibular stimulation as a novel sensation interface , 2005, SIGGRAPH '05.

[5]  Koji Tsukada,et al.  ActiveBelt: Belt-Type Wearable Tactile Display for Directional Navigation , 2004, UbiComp.

[6]  T. Sinkjaer,et al.  A review of portable FES-based neural orthoses for the correction of drop foot , 2002, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[7]  Jun Rekimoto,et al.  PossessedHand: a hand gesture manipulation system using electrical stimuli , 2010, AH.

[8]  R. Fitzpatrick,et al.  Effects of galvanic vestibular stimulation during human walking , 1999, The Journal of physiology.

[9]  Christophe Jouffrais,et al.  Guiding Blind People with Haptic Feedback , 2012 .

[10]  Gregory D. Abowd,et al.  Cyberguide: A mobile context‐aware tour guide , 1997, Wirel. Networks.

[11]  William Seager,et al.  Comparing physical, automatic and manual map rotation for pedestrian navigation , 2007, CHI.

[12]  Ricky Jacob,et al.  Guided by touch: tactile pedestrian navigation , 2011, MLBS '11.

[13]  Toshiyuki Kamiya,et al.  Pedestrian navigation system for mobile phones using panoramic landscape images , 2006, International Symposium on Applications and the Internet (SAINT'06).

[14]  Ann Morrison,et al.  Like bees around the hive: a comparative study of a mobile augmented reality map , 2009, CHI.

[15]  Kouta Minamizawa,et al.  HAPMAP: haptic walking navigation system with support by the sense of handrail , 2011, SIGGRAPH Emerging Technologies.

[16]  R. Stein,et al.  Turning strategies during human walking. , 1999, Journal of neurophysiology.

[17]  W. T. Ang,et al.  Functional electrical stimulation in rehabilitation engineering: a survey , 2007, i-CREATe '07.

[18]  Hiroyuki Kajimoto,et al.  Pull-navi: a novel tactile navigation interface by pulling the ears , 2009, SIGGRAPH '09.

[19]  Yuichiro Takeuchi,et al.  Gilded gait: reshaping the urban experience with augmented footsteps , 2010, UIST.

[20]  Niels Henze,et al.  Tactile wayfinder: a non-visual support system for wayfinding , 2008, NordiCHI.

[21]  Tomohiro Amemiya,et al.  Haptic handheld wayfinder with pseudo-attraction force for pedestrians with visual impairments , 2009, Assets '09.

[22]  Martin Frey,et al.  CabBoots: shoes with integrated guidance system , 2007, TEI.

[23]  Roderick Murray-Smith,et al.  Focused and casual interactions: allowing users to vary their level of engagement , 2013, CHI.