Eye Monitoring Based Motion Controlled Wheelchair for Quadriplegics

Veerati, Raju; Suresh, E. S. M.; Chakilam, Adithya; Ravula, Sai Priya

doi:10.1007/978-981-10-7329-8_5

Cited by 10 publications

(5 citation statements)

References 3 publications

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“…This methodology stands to diversify the functions that can be tested in individuals with high SCI and similar populations, while offering solutions for those who have impaired verbal as well as motor functions. From a clinical standpoint, the potential applicability of oculomotor responses in assessing learning following SCI is strengthened by recent developments in the utilization of eye movements for communication and locomotion [34,35]. Like many cognitive functions, learning is often influenced by and dependent on context and modality.…”

Section: Plos Onementioning

confidence: 99%

Examining implicit procedural learning in tetraplegia using an oculomotor serial reaction time task

et al. 2020

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Background and objective Clinical observations indicate that implicit procedural learning, a central component of physical and psychosocial rehabilitation, is impeded following spinal cord injury. In accordance, previous research has revealed a specific deficit in implicit sequence learning among individuals with paraplegia using a standard, manual version of the serial reaction time task. To extend these findings and shed light on the underlying sources of potential spinal cord injury-related deficits in sequence learning, we used an ocular activated serial reaction time task to compare sequence learning performance between individuals with tetraplegia and healthy controls. Participants and measures Twelve participants with spinal cord injury in C5-T1 were compared to 12 matched control participants on measures derived from an ocular activated serial reaction time task. Depression and additional cognitive measures were assessed to explore the source and specificity of potential sequence learning deficits. Results Like controls, and in contrast with previous findings in paraplegia, the spinal cord injury group showed intact implicit sequence learning, evidenced by declining reaction times and improved anticipation over the first six blocks of the serial reaction time task, and an advantage for the initial learning sequence over a novel interference sequence. Conclusions The ocular activated serial reaction time task elicited a performance pattern similar to standard motor versions, such that participants with tetraplegia demonstrated unimpaired

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Section: Plos Onementioning

confidence: 99%

Examining implicit procedural learning in tetraplegia using an oculomotor serial reaction time task

et al. 2020

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“…In 2018, Raju Veerati, et al [1] used a webcam with IR illuminators to track eye gaze direction with the help of MATLAB environment for processing. Detected gaze directions are used to control a wheelchair prototype which occupied by an ultrasonic sensor for obstacles avoidance to help people with disabilities.…”

Section: Related Workmentioning

confidence: 99%

“…These diseases can include cerebral palsy or multiple sclerosis (MS) which lead to quadriplegia problems. Quadriplegia typically occurs as a result of an injury at the thoracic spinal levels (T1 or above) causing a loss of sensation and movement in all four limbs [1]- [2].…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, it became important to designing and developing a semi-automatic wheelchair, wherein the movement of the wheelchair can be controlled by movements of the different organs of the human body [1]. Different interfaces have been developed for dealing with people suffering from different disabilities; such as joystick control, hand control, head control and voice control.…”

Section: Introductionmentioning

confidence: 99%

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Gaze Direction based Mobile Application for Quadriplegia Wheelchair Control System

Croock¹,

Al-Qaraawi²,

Taban³

2018

ijacsa

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Abstract-People with quadriplegia recruit the interest of researchers in introducing automated movement systems for adopted special purpose wheelchairs. These systems were introduced for easing the movement of such type of disabled people independently. This paper proposed a comprehensive control system that can control the movement of Quadriplegia wheelchairs using gaze direction and blink detection. The presented system includes two main parts. The first part consists of a smartphone that applies the propose gaze direction detection based mobile application. It then sends the direction commands to the second part via Wi-Fi connection. The second part is a prototype representing the quadriplegia wheelchair that contains robotic car (two-wheel driving car), Raspberry Pi III and ultrasound sensors. The gaze direction commands, sent from the smartphone, are received by the Raspberry Pi for processing and producing the control signals. The ultrasound sensors are fixed at the front and back of the car for performing the emergency stop when obstacles are detected. The proposed system is based on gaze tracking and direction detection without the requirement of calibration with additional sensors and instruments. The obtained results show the superior performance of the proposed system that proves the claim of authors. The accuracy ratio is ranged between 66% and 82% depending on the environment (indoor and outdoor) and surrounding lighting as well as the smart phone type.

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“…Eye-tracking is accomplished by using a camera to obtain user images and evaluate user intent, where a camera is set up to capture the user's face in real time and then data handling module extracts horizontal and vertical eye positions which can be determined from the pupil major coordinates (Li et al, 2019;Veerati et al, 2018). For safety reasons, an emergency stop is triggered when the electric wheelchair user does not concentrate his eyes consistently in one direction for a specified time.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Wheelchair Design and Operation Using Multi-Function Controller

Al-Nabulsi¹

2020

Journal of Computer Science

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An electric multi-function controlled wheelchair is designed and fully tested. This wheelchair is controlled by several physiological variables namely; voice, head movement, finger bending, breathing pressure and Electrooculography (EOG). The patient has the choice to use any of these variables to control the wheelchair. The voice command is recorded by a voice recognition module with its microphone, whereas, the head and finger motion operate through the gyro accelerometer and flex sensors. A pressure sensor is used to determine the force of breathing and EOG signals are used to control the wheelchair movement. All of the inputs are processed using a microcontroller. Testing of the wheel chair using the mentioned variables is carried out successfully with accuracy between 88 to 96% for various control modules and safety consideration as a primary goal.

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Eye Monitoring Based Motion Controlled Wheelchair for Quadriplegics

Cited by 10 publications

References 3 publications

Examining implicit procedural learning in tetraplegia using an oculomotor serial reaction time task

Examining implicit procedural learning in tetraplegia using an oculomotor serial reaction time task

Gaze Direction based Mobile Application for Quadriplegia Wheelchair Control System

A Novel Approach to Wheelchair Design and Operation Using Multi-Function Controller

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