Using Eye Blinking for EOG-Based Robot Control

Duguleana, Mihai; Mogan, Gheorghe

doi:10.1007/978-3-642-11628-5_37

Cited by 15 publications

(2 citation statements)

References 4 publications

(7 reference statements)

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“…Gaze-based action selection have been used before for robot action selection, but not continuous end-point control. Electrical eye signals (EOG) were used to detect blinks and these blinks then triggered a humanoid robot to trigger a grasp, whereby the number of blinks determined which hand of the robot was actuated [7]. The challenge lies in blinks being naturally occurring events, essential for eye health, and the end-point control of the robot required joystick manipulation.…”

Section: Introductionmentioning

confidence: 99%

Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing

Dziemian

Abbott

Faisal

2016

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)

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Abstract-Eye tracking is a powerful mean for assistive technologies for people with movement disorders, paralysis and amputees. We present a highly intuitive eye tracking-controlled robot arm operating in 3-dimensional space based on the user's gaze target point that enables tele-writing and drawing. The usability and intuitive usage was assessed by a "tele"writing experiment with 8 subjects that learned to operate the system within minutes of first time use. These subjects were naive to the system and the task and had to write three letters on a white board with a white board pen attached to the robot arm's endpoint. The instructions are to imagine they were writing text with the pen and look where the pen would be going, they had to write the letters as fast and as accurate as possible, given a letter size template. Subjects were able to perform the task with facility and accuracy, and movements of the arm did not interfere with subjects ability to control their visual attention so as to enable smooth writing. On the basis of five consecutive trials there was a significant decrease in the total time used and the total number of commands sent to move the robot arm from the first to the second trial but no further improvement thereafter, suggesting that within writing 6 letters subjects had mastered the ability to control the system. Our work demonstrates that eye tracking is a powerful means to control robot arms in closed-loop and real-time, outperforming other invasive and non-invasive approaches to Brain-MachineInterfaces in terms of calibration time (<2 minutes), training time (<10 minutes), interface technology costs. We suggests that gaze-based decoding of action intention may well become one of the most efficient ways to interface with robotic actuators -i.e. Brain-Robot-Interfaces -and become useful beyond paralysed and amputee users also for the general teleoperation of robotic and exoskeleton in human augmentation.

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Section: Introductionmentioning

confidence: 99%

Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing

Dziemian

Abbott

Faisal

2016

2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob)

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“…1). In the field of rehabilitation, this technique was used for applications such as virtual keyboard [7], control of a wheelchair [13] or for commanding the hand grippers of a robot [14].…”

Section: Introductionmentioning

confidence: 99%

Controlling a Robotic Arm by Brainwaves and Eye Movement

Postelnicu

Talaba

Toma

2011

Technological Innovation for Sustainability

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Abstract. 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.

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Using Eye Blinking for EOG-Based Robot Control

Cited by 15 publications

References 4 publications

Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing

Gaze-based teleprosthetic enables intuitive continuous control of complex robot arm use: Writing & drawing

Controlling a Robotic Arm by Brainwaves and Eye Movement

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