Abstract
Two approaches are presented and compared for segmenting motion data from on-body Orient wireless motion capture system for mobile gait analysis. The first is a basic, model-based algorithm which operates directly on the joint angles computed by the Orient sensor devices. The second is a model-free, Latent Space algorithm, which first aggregates all the sensor data, and then embeds them in a low-dimensional manifold to perform segmentation. The two approaches are compared for segmenting four different styles of walking, and then applied in a hospital-based clinical study for analysing the motion of elderly patients recovering from a fall.
Original language | English |
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Title of host publication | Wireless Health 2010 |
Place of Publication | New York, NY, USA |
Publisher | ACM |
Pages | 145-154 |
Number of pages | 10 |
ISBN (Print) | 978-1-60558-989-3 |
DOIs | |
Publication status | Published - 2010 |