Abstract
This paper presents a new, user-friendly, portable motion capture and gait analysis system for capturing and analyzing human gait, designed as a telemedicine tool to monitor remotely the progress of patients through treatment. The system requires minimal user input and simple single-camera filming (which can be acquired from a basic webcam) making it very accessible to nontechnical, nonclinical personnel. This system can allow gait studies to acquire a much larger data set and allow trained gait analysts to focus their skills on the interpretation phase of gait analysis. The design uses a novel motion capture method derived from spatiotemporal segmentation and model-based tracking. Testing is performed on four monocular, sagittal-view, sample gait videos. Results of modeling, tracking, and analysis stages are presented with standard gait graphs and parameters compared to manually acquired data.
Original language | English |
---|---|
Article number | 5409594 |
Pages (from-to) | 453-460 |
Number of pages | 8 |
Journal | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
Volume | 18 |
Issue number | 4 |
DOIs | |
Publication status | Published - Aug 2010 |
Keywords
- Automated tracking
- gait analysis
- human movement
- motion analysis