Name
Abstract | ||
|---|---|---|
This paper proposes a new approach to real-time robot controlling by integrating an Electrooculography (EOG) measuring device within human-robot interaction (HRI). Our study focuses on controlling robots using EOG for fulfilling elementary robot activities such as basic motor movements and environment interaction. A new EOG-based HRI paradigm has been developed on the specific defined problem of eye blinking. The resulted model is tested using biometric capturing equipment. We propose a simple algorithm for real-time identification and processing of signals produced by eyes during blinking phases. We present the experimental setup and the results of the experiment. We conclude by listing further research issues. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-11628-5_37 | IFIP Advances in Information and Communication Technology |
Keywords | Field | DocType |
Electrooculography,robot,control,human-robot interaction,eye blink | Social robot,Computer vision,Robot control,Control engineering,Electrooculography,Artificial intelligence,Eye blinking,Biometrics,Engineering,Robot,Mobile robot,Human–robot interaction | Conference |
Volume | ISSN | Citations |
314 | 1868-4238 | 4 |
PageRank | References | Authors |
0.73 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mihai Duguleana | 1 | 32 | 7.06 |
| Gheorghe Mogan | 2 | 28 | 4.25 |