Developing and Evaluating Creativity Gamification Rehabilitation System: The Application of PCA-ANFIS Based Emotions Model
Chung-Ho Su 1 * , Ching-Hsue Cheng 2
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1 Shu-Te University, TAIWAN (R.O.C.).
2 National Yunlin University of Science and Technology, TAIWAN (R.O.C.).
* Corresponding Author

Abstract

This study aims to explore the factors in a patient’s rehabilitation achievement after a total knee replacement (TKR) patient exercises, using a PCA-ANFIS emotion model-based game rehabilitation system, which combines virtual reality (VR) and motion capture technology. The researchers combine a principal component analysis (PCA) and an adaptive network-based fuzzy inference system (ANFIS) to present a predicting, artificial emotion model with a Plutchik emotional wheel in a 3D Gesture gamification rehabilitation system, and illustrate the value of the Plutchik emotional wheel. Also, this study tries to improve a rehabilitant’s self-efficacy, based on interesting games and the use of Kinect technology to capture a rehabilitant’s motion. This quasi-experimental design required two months to collect the PRS rehabilitation treatment data from the study’s participants, who were divided into experimental and control groups. The experimental group, rehabilitated with a PRS, filled out a questionnaire and evaluated whether the system operations and self-efficacy changes affected their rehabilitation achievement. These findings could be referenced for related researchers designing auxiliary tools and for helping physical therapists improve rehabilitants’ performance. Meanwhile, these findings recommend that patients have the operation in the early stages and that they form regular exercise habits for a better rehabilitation outcome.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

https://doi.org/10.12973/eurasia.2016.1527a

EURASIA J Math Sci Tech Ed, 2016 - Volume 12 Issue 5, pp. 1443-1468

Publication date: 21 Mar 2016

Article Views: 1120

Article Downloads: 825

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