Name
Abstract | ||
|---|---|---|
This paper presents anew, simple, and efficient strategy for locomotion classification using a force myography (FMG) system developed in-house. The FMG signals were acquired from eight calibrated force sensors. These sensors were wrapped around the thigh and captured volumetric changes in thigh muscles during locomotion. The data were collected from eight able-bodied subjects and two unilateral tr... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/THMS.2018.2860598 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Sensors,Prosthetics,Muscles,Linear discriminant analysis,Legged locomotion,Electromyography | Computer vision,Electrical impedance myography,Computer science,Electromyography,Artificial intelligence,Linear discriminant analysis,Thigh muscles,Repeatability | Journal |
Volume | Issue | ISSN |
48 | 6 | 2168-2291 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anoop Kant Godiyal | 1 | 4 | 1.79 |
| Milton Mondal | 2 | 1 | 0.70 |
| Shiv Dutt Joshi | 3 | 99 | 13.93 |
| Joshi Deepak | 4 | 13 | 3.41 |