Name
Abstract | ||
|---|---|---|
Objective: This paper describes a gait classification method that utilizes measured motion of the thigh segment provided by an inertial measurement unit. Methods: The classification method employs a phase-variable description of gait, and identifies a given activity based on the expected curvature characteristics of that activity over a gait cycle. The classification method was tested in experimen... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TBME.2017.2750139 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Monitoring,Thigh,Legged locomotion,Feature extraction,Classification algorithms,Pattern recognition,Space vehicles | Training set,Computer vision,Activity recognition,Pattern recognition,Gait,Computer science,Feature extraction,Inertial measurement unit,Artificial intelligence,Linear discriminant analysis,Classifier (linguistics),Statistical classification | Journal |
Volume | Issue | ISSN |
65 | 6 | 0018-9294 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harrison L. Bartlett | 1 | 3 | 0.40 |
| Michael Goldfarb | 2 | 178 | 21.36 |