Abstract
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.
| Original language | English |
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| Pages | 135-137 |
| Number of pages | 3 |
| DOIs | |
| State | Published - 1 Jan 2014 |
| Externally published | Yes |
| Event | 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 - Budapest, Hungary Duration: 24 Mar 2014 → 28 Mar 2014 |
Conference
| Conference | 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 |
|---|---|
| Country/Territory | Hungary |
| City | Budapest |
| Period | 24/03/14 → 28/03/14 |
ASJC Scopus subject areas
- Software