Name
Title | ||
|---|---|---|
A fusion framework to estimate plantar ground force distributions and ankle dynamics. |
Abstract | ||
|---|---|---|
•A two-step approach for modelling spatio-temporal GRFs distributions and foot angle.•Fusion of e-AR signal and video to model the foot angle during key gait events.•Invariant features of angular information from video recordings improve performance. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.inffus.2017.09.008 | Information Fusion |
Keywords | Field | DocType |
Gait analysis,e-AR,Fusion of sensors gait data and video | Activity recognition,Pattern recognition,Gait,Effect of gait parameters on energetic cost,Ground reaction force,Pressure sensor,Gait analysis,Artificial intelligence,Video camera,Mathematics,Ankle | Journal |
Volume | Issue | ISSN |
41 | C | 1566-2535 |
Citations | PageRank | References |
1 | 0.36 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fani Deligianni | 1 | 283 | 20.24 |
| Charence Wong | 2 | 152 | 7.33 |
| Benny Lo | 3 | 403 | 37.89 |
| Guang-Zhong Yang | 4 | 2812 | 297.66 |