Abstract
With the further development of microelectronics technology and sensors, sensors can be widely embedded in mobile phone devices and portable devices. The use of acceleration sensors for human motion monitoring has broad application prospects. Monitoring the daily exercise of the human body is of great significance for formulating scientific exercise and fitness plans and improving physical health. This paper uses the measurement data of multiple types of sensors to propose an index recognition method based on the fusion of multiple types of sensor information. We take the measurement value of a single type of sensor as input and output the index value of the moving part without a strain sensor. The pattern recognition method is used to establish a pattern library, a recognition library, and a measurement library. This article considers noise interference or malfunction of sensor measurements. Aiming at uncertain factors such as the error of the finite element model, a pattern matching method considering the uncertainty is proposed. This article takes aerobics as an example to simulate and analyze the dynamic response of aerobics under wind load. In addition, by simulating the recognition results under different levels of noise interference, the robustness and anti-interference of the pattern matching method are verified.
Highlights
With the rapid development of wireless sensor technology and wireless communication technology, the main problem of data transmission is to choose which wireless communication technology to transmit data [1]
Information fusion refers to the process of decision-making and estimation task information processing through automatic analysis and comprehensive realization of multiple sensor observation information obtained according to time sequence in the relevant criteria by computer technology, because information fusion process has multiple sensors to obtain information connection and processing
Support vector machine (SVM) algorithm was first developed from the generalized portrait method in pattern recognition algorithm
Summary
With the rapid development of wireless sensor technology and wireless communication technology, the main problem of data transmission is to choose which wireless communication technology to transmit data [1]. The basic principle of multisensor information fusion technology is to make the multilevel and multispace information complementary and optimal combination processing of various sensors and produce consistent interpretation of the observation environment. This process should make full use of multisource data for reasonable control and utilization. The ultimate goal of information fusion is to separate observation information obtained from each sensor and extract more useful information through multilevel and Journal of Sensors multidirectional information combination It takes advantage of the cooperative operation of multiple sensors and comprehensively processes the data of other information sources to improve the intelligence of the whole sensor system. Cloud server processing technology plays a very important role in the current monitoring platform, which can classify, store, manage and share the explosive growth of data and provide a platform for subsequent data fusion
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