Sürekli olarak önleyici bakım ve diğer sağlık bakım faaliyetlerinin gerçekleştirilmesiyle olumlu etkiler elde edilebilmesine rağmen, aynı faaliyetleri günlük olarak gerçekleştirmek zihinsel olarak zorlayıcı olabilir. Bu nedenle, kullanıcıların gönüllü faaliyetlerde bulunabilecekleri oyunlar dahil edilerek, kullanıcıların motivasyonunun sürdürülmesi ve egzersiz sistemlerini kullanmaya teşvik edilmesi konusunda araştırmalar yapılmıştır. Microsoft tarafından geliştirilen Kinect sistemi, bir kişinin duruşunu ve eklemlerinin üç boyutlu koordinatlarını tanıyabilmektedir ve rehabilitasyon amacıyla el ve ayak hareketlerini ölçmek için Kinect kullanan sistemler üzerine araştırıma ve geliştirme faaliyetleri gerçekleştirilmiştir. Kinect, gerçek dünyadaki insan duruşlarını algılayabildiğinden, antagonistik egzersizlerin tanınması için de kullanılabilir. Yakın zamanda, çeşitli Kinect tabanlı ticari rehabilitasyon sistemleri geliştirilmiştir. Daha önce, derinlik görüntü sensörü kullanan ve performansı ve kullanılabilirliği değerlendiren bir alt ekstremite egzersiz destek sistemi tasarladık ve geliştirdik. Sistem, Kinect sensöründen elde edilen iskelet ve RGB verileri için 3D konum verileri ve eklem açılarına dayanarak egzersizleri tanır ve değerlendirir. Bu çalışmada, derinlik sensörü kullanarak antagonistik egzersizi destekleyen bir sistem tasarladık, uyguladık ve değerlendirdik. Sistem, derinlik sensöründen elde edilen kullanıcının eklemleriyle ilgili iskelet verilerini kullanarak egzersizleri tanır ve gerçek zamanlı geri bildirim sağlamak için kullanıcının egzersizlerini değerlendirir. Ek olarak, egzersiz prosedürlerini kullanıcıya açıklamak için görsel-işitsel bir ekran kullanır ve egzersizi teşvik etmek için gerçek zamanlı videolarını oynatır. Ayrıca, kullanıcının müzikle aynı tempoda egzersiz yapabileceği bir ritim oyunu işlevine de sahiptir. Bu sistem dört tip egzersiz içerir: üst/alt ekstremite antagonistik hareketi, üst ekstremite sol/sağ antagonistik hareketi, her iki kolu ve her iki bacağın kullanıldığı taş/kağıt/makas egzersizi ve ikili/üçlü zaman egzersizleri.
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									other health1 activitiescare activities, performing the same activities
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                                  encouraging them to use exercise systems by incorporating games where the users
                                  perform 3voluntary activities. On the other hand, tThe
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                                  joints, and work has been done to 4research
                                  and developdevelopment
                                  of systems that use a Kinect to measure hand and foot movements for
                                  rehabilitation purposes has been conducted.5 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 The system
                                  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’splays
                                  their6 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 incudes 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.
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                                  we designed, implemented,10 and evaluated a system that supports antagonistic exerciseexercises
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                                  exercisesexercise. It also
                                  has a rhythm game function whereby the user can exercise in timesync
									with music. This system incudes is provided
                                  with fourFour types of exerciseexercises 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.
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.