Many patients with Parkinson’s disease suffer from short periods during which they cannot continue walking, the so-called freezing of gait. Patients can learn to use rhythmic auditory sounds as support during these episodes. We developed GaitAssist, a personalized wearable system for freezing of gait support, that enables training in unsupervised environments. GaitAssist detects freezing episodes from ankle-mounted motion sensors, which stream data via Bluetooth to an Android phone. In response, the system plays a rhythmic auditory sound that adapts to the patient’s regular gait speed. While GaitAssist can be used as a daily-life assistant, it also provides support for three types of training and rehabilitation exercises. The user can create personalized training sessions by adjusting the exercise and feedback parameters.
https://www.google.fr/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0CCEQtwIwAGoVChMI75X49ITExwIVipgaCh0Ocwr6&url=http%3A%2F%2Fwww.youtube.com%2Fwatch%3Fv%3Df8GGTwUycYI&ei=LkXcVe_GE4qxao7mqdAP&usg=AFQjCNGf7yPLYCDmdxHZOrkpSNjAAG6cyQ&sig2=sTAmlvRuSsmYlnpPJkoSLw
| Proceedings of the SIGCHI Conference on Human Factors in Computing Systems |
| Pages 2531-2540 |
