Abstract
In recent years, along with microelectromechanical (MEMS) technique and wireless body area network (WBAN), wearable health monitoring systems have emerged. With sustainability posture detection technique, people pay more and more attention to mankind posture detection. Human posture detection technique has been widely used in medical, film and television, industry, sports, and other fields. Motion capture is a technique for measuring the motion of moving objects in three-dimensional space with great accuracy. It is the most efficient method for producing computer 3D animation and collecting human motion data. The use of motion capture systems in animation is becoming increasingly common. The problem of a single sensor having a large error in monitoring human motion and attitude is addressed. The use of multisensor data fusion technology is used to propose a human motion pattern recognition method based on data fusion of accelerometer and gyroscope. The system must effectively integrate the information of various sensors in order to achieve the goal of accuracy, timeliness, and reliability processing, and multisensor information fusion systems for various complex application objects are constantly emerging.
Highlights
Few smart products can provide basketball enthusiasts with visual data to help them find fun in daily training, so that daily basketball training is no longer boring, and can record, compare, and analyze some statistics on basketball [1]
Human movement gesture recognition has been widely used in sports competition, rehabilitation medicine, health monitoring, somatotransducery games, and other fields in recent years, thanks to the rapid development of key technologies such as man-machine interactive and wireless body area networks
Motion capture is a technique for precisely measuring the movement of moving objects in three-dimensional space, and it is the most efficient way to produce computer 3D animation and collect data on human movement
Summary
Few smart products can provide basketball enthusiasts with visual data to help them find fun in daily training, so that daily basketball training is no longer boring, and can record, compare, and analyze some statistics on basketball [1]. Multisource information fusion has become an important key technical means for a large number of military and civilian high-tech systems and is a hot topic in the current research field, thanks to the emergence of a large number of new transducers and estimates that are more complete and accurate. Multiple transducers are frequently used to measure the same target parameters at different locations because multitransducer data fusion makes use of the complementarity of multiple information to improve the quality of information. Information fusion is a new information processing means for the specific problem of a system composed of multiple transducers of the same or multiple types [7] It is called multisource correlation, multisource synthesis, transducer mixing, or multitransducer. Multitransducer information fusion refers to the multilevel, multifaceted, and multilevel processing of data from multiple transducers to generate new meaningful information, which cannot be obtained by any single transducer. A single transducer can no longer meet the needs of modern combat systems and must use multiple transducers to locate and detect targets
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