• Journal of Korean Academy of Nursing
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• v.45 no.1
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• pp.84-96
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• 2015

Purpose: This study was done to investigate the motivational, physical and affective benefits of exergaming in community dwelling older adult women. Methods: The research design was a nonequivalent control group pre-test and post-test design. Sixty-one older adult women over the age of 65 were recruited from 6 community senior centers to participate in the 8 week exercise intervention or control group. Six centers were divided into one of three groups: exergame, qigong exercise, or control. The exergame and the qigong exercise group received 16 sessions, scheduled twice a week, with each session lasting 50 minutes. Test measures were completed before and after the 8 week intervention period for all participants. Measures included: Grip strength, chair stand, 6 m walking, balance, geriatric depression scale, vitality and intrinsic motivation. Results: There were significant improvements in the exergame and qigong exercise group for grip strength, chair stand, 6m walking, balance, vitality and intrinsic motivation at the end the 8-week program compared with the control group. Conclusion: The exergame could be an effective alternative for older adult women to group exercise classes.

• Journal of Korea Game Society
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• v.10 no.6
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• pp.47-55
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• 2010

In this research, a chair type game controller has been developed. We implement pressure sensors on a chair so that user's whole body movements can be signalized. The signals linked to a game system. This process occurs a meaningful exercise effect. Because users can play exergame setting on the chair type game controller, it is reduces risk of physical injury such as falling down and the Joint pressure compared existing exergame controllers. Based on the advantages of seating, elderly and obese can be provided appropriate exergame.

• Journal of Korea Game Society
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• v.21 no.3
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• pp.147-156
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• 2021

In this paper, we planned to see the positive effects of the immersive virtual environment. In particular, the positive effect of presence on physical performance was explored. A total of 25 participants were recruited for this experiment and his/her physical performance was measured by Electromyography (EMG) while they were exercising (rowing), and presence was measured by a self-reported measure. The participants were randomly assigned to experience either a) Virtual Reality (VR) or b) non-VR (2D screen) condition when they played the exergame. The result showed that 1) there was a positive relationship between representation mode and presence and 2) the higher level of presence reinforced the user's physical performance. The limitation of the study and future study were also discussed.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.315-316
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• 2014

본 논문에서는 체감형 기능성 게임의 여러 요인들 중에 하지근력을 실질적으로 강화시키기 위해서는 어떠한 요인들이 필요하며, 그 요인들을 어떻게 구성 하였을 때 가장 큰 효과를 줄 수 있는지 요소들에 대한 구성에 대해서 분석하여 체감형 기능성 게임을 개발 하는 업체들에게 실직적인 효과를 줄 수 있는 요인들을 제시하는데 목적이 있다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2297-2304
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• 2016

In this study, we designed and developed the virtual reality Exergame using the smart mat and the camera sensor for exercises in indoor environments. For detecting the gestures of a upper body of users, the KINECT camera based the gesture recognition algorithm used angles between user's joint information system was adopted, and the smart mat system including a LED equipment and Bluetooth communication module was developed for user's stepping data during the exercises that requires the gestures and stepping of users. Finally, the integrated virtual reality Exergame system was implement along with the Unity 3D engine and different kinds of user' virtual avatar characters with entertainment game contents such as displaying gesture guideline and a scoring function. Therefore, the designed system will useful for elders who need to improve cognitive ability and sense of balance or general users want to improve exercise ability and the indoor circumstances such home or wellness centers.

• Journal of Korea Game Society
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• v.20 no.5
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• pp.41-52
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• 2020

This study aimed to address whether the varying degree of screen speed in the context of a Virtual reality exergame will interact with users' intrinsic motivation in influencing user perceptions. Results from our experiment (N = 40), showed that screen speed and intrinsic motivation have significantly interacted in influencing players' feeling of flow, attitude, and intention to replay the game (i.e., the 7km/h and 9km/h speeds have induced more favorable user perceptions than the 5km/h speed). Further implications of the findings are discussed.

• KIPS Transactions on Computer and Communication Systems
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• v.5 no.10
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• pp.303-310
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• 2016

Recently there has been growing popularity in exergame, such as Wii Sport or Xbox Fitness game, which enables users to get physical exercise while playing the games. In such experienced exercise games, the user's posture recognition is very important to find out exactly how much the users need to take their body posture as compared to the proper posture. This paper proposes a new exercise posture recognition model designed for the exercise game content for the elderly. The proposed model is based on extracting feature points of a skeleton model provided by the Kinect sensor to generate the feature vectors to recognize the user's exercise posture information. This paper describes the design and implementation of the exercise posture recognition model and demonstrates the feasibility of this proposed posture recognition model through a simple experiment. The experimental results showed 94.52% of average accordance rate for 12 exercise postures of 10 participants.

• Communications for Statistical Applications and Methods
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• v.30 no.6
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• pp.551-560
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• 2023

Recently, there has been significant research into the recognition of human activities using three-dimensional sequential skeleton data captured by the Kinect depth sensor. Many of these studies employ deep learning models. This study introduces a novel feature selection method for this data and analyzes it using machine learning models. Due to the high-dimensional nature of the original Kinect data, effective feature extraction methods are required to address the classification challenge. In this research, we propose using the first four moments as predictors to represent the distribution of joint sequences and evaluate their effectiveness using two datasets: The exergame dataset, consisting of three activities, and the MSR daily activity dataset, composed of ten activities. The results show that the accuracy of our approach outperforms existing methods on average across different classifiers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.3
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• pp.558-567
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• 2017

In this research, we developed an efficient real-time human exercise pose estimation system using multiple Kinects. The main objective of this system is to measure and recognize the user's posture (such as knee curl or lunge) more accurately by employing Kinects on the front and the sides. Especially it is designed as an extensible and modular method which enables to support various additional postures in the future. This system is configured as multiple clients and the Unity3D server. The client processes Kinect skeleton data and send to the server. The server performs the multiple-Kinect calibration process and then applies the pose estimation algorithm based on the Kinect-based posture recognition model using feature extractions and the weighted averaging of feature values for different Kinects. This paper presents the design and implementation of the human exercise pose estimation system using multiple Kinects and also describes how to build and execute an interactive Unity3D exergame.