Controlling a Robotic Arm by Brainwaves and Eye Movement
| Autor: | Cristian-Cezar Postelnicu, Madalina-Ioana Toma, Doru Talaba |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
comic_strips
genetic structures medicine.diagnostic_test business.industry Computer science Eye movement Electrooculography Electroencephalography Object (computer science) eye diseases InformationSystems_MODELSANDPRINCIPLES ComputingMethodologies_PATTERNRECOGNITION comic_strips.comic_strip medicine Computer vision sense organs Artificial intelligence Eye closure business Brainwaves Robotic arm Brain–computer interface |
| Zdroj: | Technological Innovation for Sustainability ISBN: 9783642191695 DoCEIS |
| DOI: | 10.1007/978-3-642-19170-1_17 |
| Popis: | This paper proposes two paradigms for controlling a robotic arm by integrating Electrooculography (EOG) and Electroencephalography (EEG) recording techniques. The purpose of our study is to develop a feasible paradigm for helping disabled persons with their every-day needs. Using EOG, the robotic arm is placed at a desired location and, by EEG, the end-effector is controlled for grasping the object from the selected location. Simple algorithms were implemented for detecting electrophysiological signals like eye saccades, blinking and eye closure events. Preliminary results of this study are presented and compared. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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