Name
Title | ||
|---|---|---|
Robust Facial Expression Recognition for MuCI: A Comprehensive Neuromuscular Signal Analysis. |
Abstract | ||
|---|---|---|
This paper presents a comprehensive study on the analysis of neuromuscular signal activities to recognize 11 facial expressions for muscle computer interfacing applications. A robust denoising protocol comprised of Wavelet transform and Kalman filtering is proposed to enhance the electromyogram (EMG) signal-to-noise ratio and improve classification performance. The effectiveness of eight different... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TAFFC.2016.2569098 | IEEE Transactions on Affective Computing |
Keywords | Field | DocType |
Electromyography,Feature extraction,Face recognition,Noise reduction,Robustness,System performance,Support vector machines | Robustness (computer science),Artificial intelligence,Discriminative model,Wavelet transform,Facial recognition system,Pattern recognition,Support vector machine,Psychology,Feature extraction,Speech recognition,Facial expression,Linear discriminant analysis,Machine learning | Journal |
Volume | Issue | ISSN |
9 | 1 | 1949-3045 |
Citations | PageRank | References |
0 | 0.34 | 24 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mahyar Hamedi | 1 | 18 | 3.84 |
| S. Hussain | 2 | 47 | 9.46 |
| Chee-Ming Ting | 3 | 72 | 13.17 |
| Mehdi Astaraki | 4 | 2 | 1.42 |
| Alias Mohd Noor | 5 | 13 | 2.38 |