Personalized training through Kinect-based games for physical education

Xu, Mingliang; Zhai, Yafang; Guo, Yating; Lv, Pei; Li, Yafei; Wang, Meng; Zhou, Bing

doi:10.1016/j.jvcir.2019.05.007

Cited by 21 publications

(15 citation statements)

References 15 publications

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“…The application of play activities on several techniques can improve previous learning outcomes, by applying the right strategy and in accordance with the characteristics of the game will be able to produce a successful learning [16]. Learning with an educational game system given to children shows can significantly improve physical condition [17]. Besides being able to improve the learning outcomes of its techniques, the approach to playing affective aspects such as motivation, self-confidence and cooperation also increases.…”

Section: Resultsmentioning

confidence: 99%

Under-Passing Learning Using a Playful Approach in Volleyball Game

Hambali¹,

Sutiswo²

2020

Proceedings of the 4th International Conference on Sport Science, Health, and Physical Education (ICSSHPE 2019)

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The purpose of this study was to improve the learning outcomes of under receiving skill in a volleyball game through a play approach. Research method used was Action Research. The subjects in this study were grade V Primary School students in Cimahi, Indonesia. This study was conducted in six meetings divided into two cycles. Each cycle consisted of 3 times of meeting. The first cycle was conducted through the action according to the plan and the learning method. The result of the average value of students in the under receiving learning was equal to 71.48 or 74.07% of pass students, while 25.93% of students had not passed. The second cycle was conducted through the action of the reflection result from the cycle 1. The result of the average value of students in under receiving learning increased to 78.52 or 92.59% of passed students, while the rest 7.41% of students had not passed. Based on the results of this study, it can be concluded that the play approach can improve the learning outcomes of under receiving skill of the student in volleyball game.

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Section: Resultsmentioning

confidence: 99%

Under-Passing Learning Using a Playful Approach in Volleyball Game

Hambali¹,

Sutiswo²

2020

Proceedings of the 4th International Conference on Sport Science, Health, and Physical Education (ICSSHPE 2019)

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“…It allowed trainers to develop customized training paths for each individual trainee. This method significantly enhanced the effects of physical training in the absence of trainers [27].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Microsoft Kinect sensor proved to be realistic and affordable for virtual environment modeling, human-computer interface, and hardware interface implementation. • Mingliang Xu et al [27] provided a Kinect-based system for physical education of trainees (children) without trainers. For training this system, Hierarchical…”

Section: Literature Reviewmentioning

confidence: 99%

Particle Physics Simulator for Scientific Education using Augmented Reality

Hyder¹,

Baloch²,

Saad³

et al. 2021

IJACSA

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In this era of fourth industrial revolution, young learners need to be equipped with 21 st century skills, such as critical thinking, creativity, communication, collaboration, innovation and problem solving. Augmented Reality (AR) based learning systems are an effective tool to embed these skills. This paper presents a detailed review of latest research on an AR-based learning systems. Furthermore, an AR-based learning system is proposed to demonstrate the particle physics experiments i.e. proton-proton collision and Higgs field. The proposed learning system algorithms are developed using particle system of unity 3D software. Then, Microsoft Kinect sensor is interfaced with unity 3D to create an immersive experience. Then, the qualitative analysis of the proposed system and latest AR-based learning systems is presented. Finally, the quantitative analysis of the proposed system is conducted. Overall, the results suggest that 85% of the participants recommended the proposed learning system.

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“…A third example is the adaptive hand therapy game created in [ 41 ], in which the therapist’s prescription is translated into a 3D path which the patient has to follow to complete the therapy exercise. A fourth example is an algorithm used in the education field to produce personalized learning lessons using a Kinect-based system [ 42 ]. A fifth example presented in [ 9 ] demonstrates a system that uses the user’s interactions, previous performances, and preferences to recommend new game-based exercises.…”

Section: Related Workmentioning

confidence: 99%

Adaptive Rehabilitation Bots in Serious Games

Afyouni

Murad

Einea³

2020

Sensors

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In recent years, we have witnessed a growing adoption of serious games in telerehabilitation by taking advantage of advanced multimedia technologies such as motion capture and virtual reality devices. Current serious game solutions for telerehabilitation suffer form lack of personalization and adaptiveness to patients’ needs and performance. This paper introduces “RehaBot”, a framework for adaptive generation of personalized serious games in the context of remote rehabilitation, using 3D motion tracking and virtual reality environments. A personalized and versatile gaming platform with embedded virtual assistants, called “Rehab bots”, is created. Utilizing these rehab bots, all workout session scenes will include a guide with various sets of motions to direct patients towards performing the prescribed exercises correctly. Furthermore, the rehab bots employ a robust technique to adjust the workout difficulty level in real-time to match the patients’ performance. This technique correlates and matches the patterns of the precalculated motions with patients’ motions to produce a highly engaging gamified workout experience. Moreover, multimodal insights are passed to the users pointing out the joints that did not perform as anticipated along with suggestions to improve the current performance. A clinical study was conducted on patients dealing with chronic neck pain to prove the usability and effectiveness of our adjunctive online physiotherapy solution. Ten participants used the serious gaming platform, while four participants performed the traditional procedure with an active program for neck pain relief, for two weeks (10 min, 10 sessions/2 weeks). Feasibility and user experience measures were collected, and the results of experiments show that patients found our game-based adaptive solution engaging and effective, and most of them could achieve high accuracy in performing the personalized prescribed therapies.

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Personalized training through Kinect-based games for physical education

Cited by 21 publications

References 15 publications

Under-Passing Learning Using a Playful Approach in Volleyball Game

Under-Passing Learning Using a Playful Approach in Volleyball Game

Particle Physics Simulator for Scientific Education using Augmented Reality

Adaptive Rehabilitation Bots in Serious Games

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