医用生体工学の翻訳サンプル

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.

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 forrehabilitative 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 presentstudy, 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.

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