| Title | Autonomous gait speed estimation using 24GHz FMCW radar technology |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Boroomand, A., G. Shaker, P. P. Morita, A. Wong, and J. Boger |
| Conference Name | 2018 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI) |
| Date Published | 03/2018 |
| Publisher | IEEE |
| Abstract | Gait speed is an important health indicator and therefore can be used as a way to understand functional capacity of older adults. Continuous gait speed measurement is required to detect deviations from normal speed, which may be a symptom of various cognitive or other problems. Among older adults, gait speed reduction from a normal level correlates with an increased risk of falls hence knowing about changes in gait speed could help support falls prevention. We present an autonomous gait speed estimation system (A-GSE) that employs a 24GHz radar sensor which works in frequency modulated continuous wave (FMCW) mode to track the gait speed of a person during walking. The A-GSE system was tested with 14 healthy young adult participants in a walking experiment with three levels of walking speed: low, normal and fast. A-GSE results were compared to ground truth values that were simultaneously … |
| URL | https://ieeexplore.ieee.org/abstract/document/8333371 |
