Name
Title | ||
|---|---|---|
A gait cadence measurement method based on match filter and turns detection for human locomotion monitoring. |
Abstract | ||
|---|---|---|
Gait is a particular locomotion pattern of human body. Analysis of gait parameters may help identify posture-related problems in people with injuries or diseases. In this work, biokinetic gyroscopes with wireless data transmission capability were used to record the right ankle angular rates during walking. A match filter and turns detection algorithm were used to measure the gait cadence and its subphases. Results of the experiments on a group of 16 healthy subjects demonstrated that the proposed method can detect the temporal gait parameters with a high degree of precision and reliably identify important gait events. © 2012 IEEE. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/BHI.2012.6211635 | BHI |
Keywords | Field | DocType |
gait analysis,matched filters,patient monitoring,human body,gyroscopes,matched filter | Cadence,Human locomotion,Computer vision,Gyroscope,Gait,Remote patient monitoring,Computer science,Simulation,Effect of gait parameters on energetic cost,Gait analysis,Artificial intelligence,Matched filter | Conference |
Volume | Issue | Citations |
null | null | 1 |
PageRank | References | Authors |
0.38 | 3 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunfeng Wu | 1 | 13 | 2.78 |
| Suxian Cai | 2 | 46 | 4.00 |
| Meng Lu | 3 | 2 | 2.47 |
| Zhangting Zhong | 4 | 11 | 2.07 |
| Jia He | 5 | 8 | 0.90 |
| Fang Zheng | 6 | 1 | 0.72 |
| Fang Xu | 7 | 1 | 0.38 |
| Lei Shi | 8 | 1 | 0.38 |
| Chun Xia | 9 | 1 | 0.72 |