Research Article
Gait Recognition Based on Invariant Leg Classification Using a Neuro-Fuzzy Algorithm as the Fusion Method
Table 4
The final result of NFCC performance in gait recognition in comparison with HGCD and ASM algorithms [
1,
17].
| | Algorithm | Width vectors (UMD) | DTW
(UMD) | HMM
(UMD) | BodyShape (CMU) | HMM (MIT) | Body (CAS) | Baseline | ASM | Proposed method (NFCC) |
| | Average performance* | 25.7 | 30.1 | 53.2 | 46.2 | 43.2 | 39.2 | 49.8 | 89.1 | 94.2 |
|
|
*The average performance under different experiments of HGCD.
|
