3D Kinematics of Upper Limb Functional Assessment Using HTC Vive in Unreal Engine 4

Citation

Sim, Kok Swee and Lew, Kai Liang and Abas, Fazly Salleh and Tan, Shing Chiang (2020) 3D Kinematics of Upper Limb Functional Assessment Using HTC Vive in Unreal Engine 4. In: Advances in Computational Collective Intelligence. Communications in Computer and Information Science, 1287 . Springer Science and Business Media Deutschland GmbH, Communications in Computer and Information Science, pp. 264-275. ISBN 9783030631185

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Abstract

The purpose of research in this paper is to quantify the accuracy and precision of HTC Vive by making upper limb assessment measurements and performing functional tasks in the Unreal Engine 4. Thirty healthy males performed daily aim functional tasks, and arm length measurement and assessment were made. Each participant attended two testing sessions and one arm length measurement session. The upper limb length was measured using HTC Vive after making three types of hand posture exercises. The arm assessment included the minimum and maximum angle of shoulder adduction, abduction, flexion and extension. The experiment showed all the upper limb measurements collected from the functional tasks as well as the position and rotation of the upper limb could be estimated correctly.

Item Type: Book Section
Uncontrolled Keywords: Three-dimensional imaging, Unreal engine 4, Arm assessment, HTC Vive
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 19 Aug 2021 15:39
Last Modified: 24 Feb 2023 05:49
URII: http://shdl.mmu.edu.my/id/eprint/8257

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