Name
Title | ||
|---|---|---|
Modified Nonnegative Matrix Factorization Using the Hadamard Product to Estimate Real-Time Continuous Finger-Motion Intentions. |
Abstract | ||
|---|---|---|
In daily life, most hand movements involve the simultaneous activation of multiple fingers. Models generated by semiunsupervised learning in which only individual finger activation data are used in training have recently been suggested for simultaneous and proportional control of prosthetic robot hands. Although training with many datasets should be avoided, simultaneous activation data need to be... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/THMS.2017.2751549 | IEEE Transactions on Human-Machine Systems |
Keywords | Field | DocType |
Data models,Fingers,Estimation,Feature extraction,Adaptation models,Real-time systems,Robots | Data modeling,Proportional control,Computer science,Hadamard product,Proportional myoelectric control,Feature extraction,Contrast (statistics),Non-negative matrix factorization,Artificial intelligence,Robot,Machine learning | Journal |
Volume | Issue | ISSN |
47 | 6 | 2168-2291 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pyungkang Kim | 1 | 0 | 0.34 |
| Kyung-Soo Kim | 2 | 0 | 0.34 |
| Soohyun Kim | 3 | 0 | 0.68 |