• Title/Summary/Keyword: kinect-based mixed reality

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Effects of Kinect-Based Mixed Reality Device on Physical Function and Quality of Life in Breast Cancer Survivors : A randomized controlled trial

  • Byung-Gul Lim;Xinxing Li;Yun-Ho Sung;Si-Woo LEE;Hyun-Jun Kim;Wook Song
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.2
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    • pp.49-60
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    • 2023
  • Purpose : We aimed to evaluate the impact of a exercise with kinect-based mixed reality device (KMR) on physical function, upper extremity disability, fatigue, and quality of life in breast cancer survivors. We hypothesized that this exercise program would improve physical function, physical activity, fatigue, and quality of life. Methods : Thirty-nine breast cancer survivors were randomized to either the KMR exercise group (KE) or the home stretch group (HS). The KE participated in 8 weeks of exercise, exercising 3 times per week, while the HS performed 8 weeks of stretching exercises, also 3 times per week. Before and after the intervention period, participants underwent assessments of physical function, including body composition, chester step test (CST), and hand grip strength (HGS). Additionally, participants completed questionnaires including the international physical activity questionnaire (IPAQ), disabilities of the arm, shoulder and hand (DASH) questionnaire, and functional assessment of cancer therapy-breast (FACT-B) questionnaire to measure their physical activity levels, upper extremity disability, and quality of life, respectively. Results : Overall, significant improvements were observed in several shoulder movements, body weight, and physical activity, with no significant interaction effects between groups and time. Furthermore, there was a significant group by time interaction for body weight, left flexion, right flexion, right abduction, and left adduction, as well as for upper extremity disability (K-DASH) and quality of life (FACT-B). Conclusion : In conclusion, the KMR exercise program was found to be effective at improving physical function, upper extremity disability, quality of life, and overall well-being in breast cancer survivors. The significant improvements observed in multiple measures and the significant group by time interactions for various outcomes highlight the potential benefits of this KMR exercise program in promoting a better quality of life for breast cancer survivors.

A Web-based System for Embedding a Live Actor and Entity using X3DOM (X3DOM 을 이용한 라이브 행동자와 실체를 통합하기 위한 웹 기반 시스템)

  • Chheang, Vuthea;Ryu, Ga-Ae;Jeong, Sangkwon;Lee, Gookhwan;Yoo, Kwan-Hee
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.1-3
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    • 2016
  • Mixed and augmented reality (MAR) refers to a spatially coordinated combination of media/information components that represent on the real world and its objects, and on the other those that are virtual, synthetic and computer generated including any combination of aural, visual and touch. The extensible 3D (X3D) is the ISO standard for defining 3D interactive web-based 3D content integrated with multimedia. In this paper, we propose a model to integrate live actor and entity that captured from Microsoft Kinect to be represented in Web-based mixed augmented reality world by using X3DOM by which X3D nodes can be integrated seamlessly into HTML5 DOM content.

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A Study on Sensor-Based Upper Full-Body Motion Tracking on HoloLens

  • Park, Sung-Jun
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.4
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    • pp.39-46
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    • 2021
  • In this paper, we propose a method for the motion recognition method required in the industrial field in mixed reality. In industrial sites, movements (grasping, lifting, and carrying) are required throughout the upper full-body, from trunk movements to arm movements. In this paper, we use a method composed of sensors and wearable devices that are not vision-based such as Kinect without using heavy motion capture equipment. We used two IMU sensors for the trunk and shoulder movement, and used Myo arm band for the arm movements. Real-time data coming from a total of 4 are fused to enable motion recognition for the entire upper body area. As an experimental method, a sensor was attached to the actual clothes, and objects were manipulated through synchronization. As a result, the method using the synchronization method has no errors in large and small operations. Finally, through the performance evaluation, the average result was 50 frames for single-handed operation on the HoloLens and 60 frames for both-handed operation.