I-m-Walk - Interactive Multimedia Walking-aware System

i-m-Walk is a mobile application that uses pressure sensors in shoes to visualize phases of footsteps. Through a mobile device, it will raise the awareness for the user to improve his walking behaviour. As an example application in slow technology, we use i-m-Walk to help beginners to learn “walking meditation,” a type of meditation where users aim to be as slow as possible in taking pace, and to land every footstep with toes first. In our experiment, we asked 30 participants to learn walking meditation over a period of 5 days; the experimental group used i-m-Walk from day 2 to day 4, and the control group did not use it. The results showed that i-m-Walk could effectively assist beginners in slowing down the walking speed and while decreasing the incorrect rate of pacing during walking meditation. To conclude, this study may serve as a key in providing a mechanism to assist users to better understand his pacing and walking habits. In the future, i-m-Walk could be used in other applications, such as walking rehabilitation.

[1]  Jens Bo Nielsen,et al.  Watching your foot move--an fMRI study of visuomotor interactions during foot movement. , 2007, Cerebral cortex.

[2]  M. Grasso,et al.  Rehabilitation of Walking With Electromyographic Biofeedback in Foot‐Drop After Stroke , 1994, Stroke.

[3]  Majid Sarrafzadeh,et al.  Wireless health and the smart phone conundrum , 2009, SIGBED.

[4]  Joseph A. Paradiso FootNotes: Personal Reflections on the Development of Instrumented Dance Shoes and their Musical Applications , 2000 .

[5]  Steve Mann Smart clothing: The wearable computer and wearcam , 2005, Personal Technologies.

[6]  A. Lutz,et al.  Long-term meditators self-induce high-amplitude gamma synchrony during mental practice. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Masayoshi Tomizuka,et al.  Smooth and continuous human gait phase detection based on foot pressure patterns , 2008, 2008 IEEE International Conference on Robotics and Automation.

[8]  Hideyuki Ando,et al.  Shoe-shaped interface for inducing a walking cycle , 2005, ICAT '05.

[9]  R. Davidson,et al.  Alterations in Brain and Immune Function Produced by Mindfulness Meditation , 2003, Psychosomatic medicine.

[10]  Steve Mann The andantephone: a musical instrument that you play by simply walking , 2006, MM '06.

[11]  Jacob O. Wobbrock,et al.  Getting off the treadmill: evaluating walking user interfaces for mobile devices in public spaces , 2008, Mobile HCI.

[12]  David R. Morse,et al.  Using while moving: HCI issues in fieldwork environments , 2000, TCHI.

[13]  P. Bessou,et al.  Step-length biofeedback device for walk rehabilitation , 1994, Medical and Biological Engineering and Computing.

[14]  A. Thevenon,et al.  A real-time plantar pressure feedback device for foot unloading. , 2004, Archives of physical medicine and rehabilitation.

[15]  Jane Yung-jen Hsu,et al.  GETA sandals: a footstep location tracking system , 2007, Personal and Ubiquitous Computing.

[16]  Stephen A. Brewster,et al.  Gait phase effects in mobile interaction , 2005, CHI Extended Abstracts.

[17]  David A. Forsyth,et al.  Knowing when to put your foot down , 2006, I3D '06.

[18]  Francis K. H. Quek,et al.  As go the feet...: on the estimation of attentional focus from stance , 2008, ICMI '08.

[19]  Dieter Drobny,et al.  Saltate!: a sensor-based system to support dance beginners , 2009, CHI Extended Abstracts.

[20]  M. Woollacott,et al.  Multisensory training of standing balance in older adults: I. Postural stability and one-leg stance balance. , 1994, Journal of gerontology.

[21]  Raymond F Reynolds,et al.  Visual guidance of the human foot during a step , 2005, The Journal of physiology.

[22]  Johan Redström,et al.  Slow Technology – Designing for Reflection , 2001, Personal and Ubiquitous Computing.

[23]  M. Batalin,et al.  Smart Shoe for Balance , Fall Risk Assessment and Applications in Wireless Health , 2008 .

[24]  Joseph A. Paradiso,et al.  Shoe-integrated sensor system for wireless gait analysis and real-time feedback , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.