Developing and Evaluating Creativity Gamification Rehabilitation System: The Application of PCA-ANFIS Based Emotions Model

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 modelbased 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.

Gamification for Older Adults: A Systematic Literature Review

“… Boot and colleagues (2016) reported that the participants in their study had a low proficiency with mobile technologies. Su and Cheng (2016) described that approximately half of their participants had experience with motion-capturing technology before the study. Furthermore, two of the reviewed studies ( Hiraoka et al, 2016 ; Sun et al, 2017 ) mentioned that participants in their study had no prior experience with the investigated technologies.…”

“… Li and colleagues (2016) studied the effects of playfulness in exergames on depression using Wii Fit Sports exergames and Wii Fit fitness exercises. Katajapuu and colleagues (2017) and Su and Cheng (2016) reported studies using Microsoft Kinect to capture the movements of the players that then controlled the exergame. Physical health was also targeted in the study by Steinert and colleagues (2018) ; however, their intervention more resembled the common gamified exercise solutions delivered via mobile devices, with the participants carrying an activity tracker and performing exercises provided by the mHealth solution.…”

“…Furthermore, positively oriented results were reported on the effects of exergames on knee movement scores and perceptions of self-efficacy for total knee replacement patients ( Su & Cheng, 2016 ), on the motivational effects and increased positive emotions of social gameplay conditions ( Wagner & Minge, 2015 ), on increased physical activity and balancing ability from a gameful mHealth solution ( Steinert et al, 2018 ), and on increased learning performance and autonomy experiences using a gameful ticket vending machine training ( Sun et al, 2017 ). The study by Souders and colleagues (2017) found mild positive improvement on memory test scores after cognitive training game play, but this effect was noted to be weak.…”

Towards a Smart System for Rehabilitation: TANGO-H Recommender System

“…In recent years, games and Virtual Reality (VR) have been developed as intervention tools in rehabilitation [13,14,15,3]. In the literature we can find studies that show that VR can increase motivation whilst used in rehabilitation and also allows realistically situations that otherwise would be difficult for patients [16].…”

Feature Evaluation of Upper Limb Exercise Rehabilitation Interactive System Based on Kinect

“…Therefore, the Kinect upper limb exercise rehabilitation interaction technology is applied to the robot-assisted exercise rehabilitation training, and the Kinect-based somatosensory interaction is carried out. The robot assisted rehabilitation training method and system research will further improve and improve the technical level of human-machine cooperative rehabilitation training, which has important academic significance and clinical application value [13]- [15]. However, due to the imperfect limb movement function of the patient, it is impossible to carry out rehabilitation training independently.…”