Date of Publication
6-2022
Document Type
Master's Thesis
Degree Name
Master of Science in Electronics and Communications Engineering
Subject Categories
Electrical and Computer Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Thesis Advisor
Donabel D. Abuan
Defense Panel Chair
Argel A. Bandala
Defense Panel Member
Elmer P. Dadios
Leonard U. Ambata
Abstract/Summary
Hand-eye coordination (HEC) is one of the basic skills people use in their everyday lives. However, existing methods of HEC assessment can be stressful, painful, and costly. This paper proposed an HEC assessment system using a hand-tracking device called Leap Motion as an alternative to test hand-eye coordination. A Windows-based application was developed using Unity platform, taking inspiration from existing and scientifically-proven computer-based cognitive assessment tools, improved by Leap Motion technology and gamification principles.
An experiment was conducted with 30 healthy individuals and six patients with developmental coordination disorder (DCD). They were asked to undergo the assessment using the Leap Motion controller, then using a common mouse device for comparison. The data gathered reached over 0.9 in Cronbach's alpha test which show high correlation and good reliability. Participants with no DCD performed better than the patients with DCD. The difference in scores were more significant when they used the Leap Motion controller, indicating that it can detect problems in hand-eye coordination than the mouse. Majority of the participants found the test experience engaging, motivating, and easy to understand.
Future work in the subject can improve the conclusiveness of the results through a more robust implementation with bigger and more focused test groups. Nonetheless, the proposed solution can pave the way for a cheaper and more engaging rehabilitation process.
Abstract Format
html
Language
English
Format
Electronic
Keywords
Eye-hand coordination—Computer programs
Recommended Citation
Bacani, R. B. (2022). Hand-eye coordination assessment using leap motion. Retrieved from https://animorepository.dlsu.edu.ph/etdm_ece/14
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Embargo Period
7-20-2022