Presentation Title

Eye-Hand Coordination Robotic Therapy

Faculty Mentor

Amar Raheja

Start Date

23-11-2019 10:45 AM

End Date

23-11-2019 11:30 AM

Location

144

Session

poster 4

Type of Presentation

Poster

Subject Area

engineering_computer_science

Abstract

Eye-hand coordination is an important combination of sensory information and motor movement that is relevant through every day of life. Some people have physiological or psychological ailments that can hinder eye-hand coordination and prevent them from doing many standard functions like eating, driving, or writing. This software application combines the data from a haptic device and eye tracking device to determine the coordination ability of a subject as well as train this coordination for those with poor ability. Short, simple path-based courses developed by occupational therapists are displayed on screen for the user to traverse through with the pen-shaped haptic device while the software can vary how strongly the device pulls the user’s hand toward the correct path. The hand coordination factor is determined using the percentage of the path drawn within the correct path, percentage drawn in the ideal path, and the time it took to complete the course. The eye coordination is based on the percentage of the time the user’s eyes are focused on the path, then the two values are then correlated using a Pearson correlation coefficient. The first tests have been on fully abled children, measuring their coordination factor and comparing their results to taking a similar test on standard pen and paper. This was done to determine what values correspond to standard coordination levels. Further tests could be done on stroke patients while giving them the tools to slowly improve their ability using tools to calculate improvement while slowly decreasing the haptic assistance.

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Nov 23rd, 10:45 AM Nov 23rd, 11:30 AM

Eye-Hand Coordination Robotic Therapy

144

Eye-hand coordination is an important combination of sensory information and motor movement that is relevant through every day of life. Some people have physiological or psychological ailments that can hinder eye-hand coordination and prevent them from doing many standard functions like eating, driving, or writing. This software application combines the data from a haptic device and eye tracking device to determine the coordination ability of a subject as well as train this coordination for those with poor ability. Short, simple path-based courses developed by occupational therapists are displayed on screen for the user to traverse through with the pen-shaped haptic device while the software can vary how strongly the device pulls the user’s hand toward the correct path. The hand coordination factor is determined using the percentage of the path drawn within the correct path, percentage drawn in the ideal path, and the time it took to complete the course. The eye coordination is based on the percentage of the time the user’s eyes are focused on the path, then the two values are then correlated using a Pearson correlation coefficient. The first tests have been on fully abled children, measuring their coordination factor and comparing their results to taking a similar test on standard pen and paper. This was done to determine what values correspond to standard coordination levels. Further tests could be done on stroke patients while giving them the tools to slowly improve their ability using tools to calculate improvement while slowly decreasing the haptic assistance.