Name
Abstract | ||
|---|---|---|
•A flexible dry electrode was manufactured to acquire the bioelectrical signals.•A new control paradigm and an efficient classification algorithm were combined to implement the HMI system.•An EOG-based HMI system was realized to recognize three kinds of eye movements with high accuracy and ITR.•This study combined the advantages of dry electrode and single recording channel to reduce the system preparation time and improve user comfort. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1016/j.bspc.2016.06.018 | Biomedical Signal Processing and Control |
Keywords | Field | DocType |
Flexible patchable sensor,Electrooculography,Human-machine interface | Scroll,Reference electrode,Computer vision,Wearable computer,Communication channel,Electrooculography,Eye movement,Artificial intelligence,Human–machine interface,Mathematics,Electrode | Journal |
Volume | ISSN | Citations |
30 | 1746-8094 | 4 |
PageRank | References | Authors |
0.42 | 8 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuhong Guo | 1 | 4 | 0.42 |
| Weihua Pei | 2 | 64 | 13.18 |
| Yijun Wang | 3 | 308 | 46.68 |
| Yuanfang Chen | 4 | 169 | 31.96 |
| He Zhang | 5 | 5 | 0.79 |
| Xian Wu | 6 | 4 | 0.42 |
| Xiaowei Yang | 7 | 4 | 0.42 |
| Hongda Chen | 8 | 99 | 20.06 |
| Yuanyuan Liu | 9 | 7 | 0.85 |
| Ruicong Liu | 10 | 4 | 0.42 |