盡管持續進行預防性護理等保健活動可以取得積極效果,但每天進行同樣的活動可能會導致精神緊張。因此,研究人員通過引入遊戲來維持用戶的動力,鼓勵他們使用運動系統,讓他們自願進行鍛煉。微軟開發的Kinect系統能夠識別人的姿勢和關節的三維坐標。研究人員對利用Kinect測量手和腳運動系統進行研發,以達成康復效果。因為Kinect可以檢測現實世界中的人體姿勢,所以它也可以用來識別對抗性運動。最近,幾種基於Kinect的商業康復系統已被開發出來。我們之前設計開發了壹個使用深度圖像傳感器的原型下肢座椅運動支持系統,並評估了性能和可用性。系統根據骨骼的三維位置數據和關節角度,以及從Kinect傳感器獲得的RGB數據對運動進行識別和評估。在本研究中,我們設計、實施,並評估了壹個使用深度傳感器支持對抗性運動的系統。該系統使用從深度傳感器獲得的用戶關節骨骼數據來識別並評估用戶的運動,以提供實時反饋。此外,它還使用視聽顯示器向用戶解釋運動過程,並實時播放視頻以鼓勵運動。它還具有節奏遊戲功能,可以讓用戶隨著音樂運動。該系統包括四種運動類型:上肢/下肢對抗性運動、上肢左右對抗性運動、石頭/剪子/布的雙臂和雙腿運動和兩倍/三倍運動。
翻譯: 您學科領域的翻譯師翻譯您的原稿
Although positive effects are achieved by continuously performing preventive care and other health activities, performing the same activities every day can be mental strain. Therefore, research has been performed on maintaining the motivation and encouraging them to use exercise systems by incorporating games where the users perform activities. On the other hand, the Kinect system developed by Microsoft is able to recognize people’s postures and the three-dimensional coordinates of their joints, and work has been done to research and develop systems that use a Kinect to measure hand and foot movements for rehabilitation purposes. Since the Kinect can detect real-world human postures, it can also be used to recognize antagonistic exercises. Recently, several Kinect-based commercial rehabilitation systems have been developed. Formerly, we designed and developed a prototype lower-limb chair exercise support system using a depth image sensor and evaluated the performance and usability. The system recognizes and evaluates exercises based on 3D position data and joint angles for skeleton and RGB data obtained from the Kinect sensor. In this study, we designed, implemented and evaluated a system that supports antagonistic exercise using a depth sensor. It recognizes exercises by using skeleton data about the user’s joints acquired from a depth sensor, and evaluates the user’s exercises to provide real-time feedback. This system uses an audiovisual display to explain the exercise procedures to the user, and displays user’s real time video to encourage the user to perform the exercises. It also has a rhythm game function whereby the user can exercise in time with music. This system is provided with four types of exercise: upper/lower limb antagonistic movement, upper limb left/right antagonistic movement, rock/paper/scissors using both arms and both legs, and duple/triple time exercises.
雙語核對:雙語核對師依照原文檢查譯文是否正確,並修正錯誤
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rehabilitation purposes has been conducted.5 Since the Kinect can detect real-world human postures, it can also be used to
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and evaluated the performance and usability. The system recognizes and
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movement, rock/paper/scissors using both arms and both legs, and duple/triple
time exercises.
編修:英文母語編修師改善文章整體的流暢度與呈現方式
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完稿:翻譯完成品準時遞交給客戶
Continuously performing preventive care and other health care activities can have a positive impact; however performing the same activities daily can also result in mental strain. Therefore, research have been conducted on ways to consistently motivate users and encourage them to use exercise systems by incorporating games in which the users can perform voluntary activities. The Kinect system developed by Microsoft can recognize a person’s posture and the three-dimensional coordinates of their joints. Research and development of systems that use Kinect to measure hand and foot movements for rehabilitative purposes have been conducted. Kinect can detect real-world human postures therefore; it can also be used to recognize antagonistic exercises. Several Kinect-based commercial rehabilitation systems have recently been developed. Previously, we designed and developed a prototype lower-limb chair exercise support system that uses a depth sensor and evaluated its performance and usability. The system recognizes and evaluates exercises based on 3D position data and joint angles for skeletal and red-green-blue (RGB) data obtained from the Kinect sensor. In the present study, we designed, implemented, and evaluated a system that supports antagonistic exercises using a depth sensor. The system recognizes exercises by using skeletal data on the user’s joints acquired from a depth sensor, and evaluates the user’s exercises to provide real-time feedback. In addition, it uses an audiovisual display to explain the exercise procedures to the user and plays their real-time video to encourage users to exercise. It also has a rhythm game function whereby the user can exercise in-sync with music. Four types of exercises are included with this system: upper/lower limb antagonistic movement, upper limb left/right antagonistic movement, rock/paper/scissors using both arms and both legs, and duple/triple time exercises.