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Azure Kinect 3D skeleton and foot pressure data for pathological gaits
- Citation Author(s):
-
KooksungJun
Gwangju Institute of Science and Technology, school of integrated technologySanghyubLeeGwangju Institute of Science and Technology, school of integrated technologyDeok-WonLeeGwangju Institute of Science and Technology, school of integrated technologyMun SangKimGwangju Institute of Science and Technology, school of integrated technology - Submitted by:
- Kooksung Jun
- Last updated:
- Tue, 05/17/2022 - 22:18
- DOI:
- 10.21227/ev8a-wr16
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Abstract
Sequential skeleton and average foot pressure data for normal and five pathological gaits (i.e., antalgic, lurching, steppage, stiff-legged, and Trendelenburg) were simultaneously collected. The skeleton data were collected by using Azure Kinect (Microsoft Corp. Redmond, WA, USA). The average foot pressure data were collected by GW1100 (GHIWell, Korea). 12 healthy subjects participated in data collection. They simulated the pathological gaits under strict supervision. A total of 1,440 data instances (12 people x 6 gait types x 20 walkings) were collected.
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