Monitoring and Analysis of Physical Exercise Effects Based on Multisensor Information Fusion

In this paper, multiple sensors are used to track human physiological parameters during physical exercise, and data information fusion technology is used to extract useful information for monitoring and analyzing the effects of physical exercise. This paper explores the interaction and developmental dynamics of multisensor information fusion technology and physical exercise data monitoring based on the interrelationship and interpenetration between the two. The design ideas and principles that should be followed for the software designed in this study are discussed from the perspective of the portable design of measurement instruments and the perspective of multisensor information fusion, and then, the overall architecture and each functional module are studied to propose a scientific and reasonable design model. The general methodological model to be followed for the development of this resource is designed, and the basic development process of the model is explained and discussed, especially the requirement analysis and structural design, and how to build the development environment are explained in detail; secondly, based on the course unit development process in this model, we clarify the limitations of the system through meticulous analysis of the measurement results, which provides a solid foundation for the next step of system optimization. Finally, with a focus on future development, we elaborate on the potential possible role and development trend of multisensor information fusion in the future period. In this paper, we propose to apply the multisensor data fusion algorithm to the monitoring, analysis, and evaluation of the effect of physical exercise, by collecting multiple human physiological parameters during physical exercise through multiple sensors and performing data fusion processing on the collected physiological parameters to finally evaluate the effect of physical exercise.

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MULTISENSOR DATA FUSION TECHNOLOGY

Periódico Tchê Química ◽

10.52571/ptq.v7.n14.2010.31_periodico14_pgs_30_34.pdf ◽

2010 ◽

Vol 07 (14) ◽

pp. 30-34

Author(s):

Élcio Jeronimo de OLIVEIRA

Keyword(s):

Data Fusion ◽

Medical Diagnostics ◽

Accurate Information ◽

National Defense ◽

Fusion Technology ◽

Multisensor Data Fusion ◽

Multiple Sensors ◽

Multisensor Data

The data fusion from multiple sensors is one of the areas and technologies of interest to national defense (Ministry of Defense of Brazil). Approximately 20 years ago, several methods of data fusion were introduced. Such methods are generally related to the defense sector, but data fusion can also be applied in other areas such as medical diagnostics, industry, etc. A simple way to explain its operation is to state that this technology combines information from several sensors in order to produce other, more accurate information.

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A Review of Multisensor Information Fusion Technology

2018 37th Chinese Control Conference (CCC) ◽

10.23919/chicc.2018.8483543 ◽

2018 ◽

Author(s):

Yaohua Liu ◽

Yimin Zhou ◽

Chaofang Hu ◽

Qingtian Wu

Keyword(s):

Information Fusion ◽

Fusion Technology ◽

Multisensor Information Fusion

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Sports Information Acquisition and Functional Training System Based on Multisensor Information Fusion

Journal of Sensors ◽

10.1155/2021/6941258 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Zhonglin Ma ◽

Zhihao Yu ◽

Jingshan Zhang

Keyword(s):

Information Fusion ◽

Information Acquisition ◽

The Elderly ◽

Training System ◽

Fusion Technology ◽

Functional Training ◽

Sports Events ◽

Multisensor Information Fusion ◽

Sports Information ◽

Traditional Sports

Since entering the 21st century, multisensor information fusion technology has developed rapidly, and multisensor information fusion is a trend in the coming years and even decades. This article is aimed at studying how the traditional sports information acquisition and functional training system can be implemented under the multisensor information fusion. This article proposes the use of multisensor information fusion technology to conduct an in-depth study on the traditional ways of acquiring sports information and the cognition of sports information by different groups of people, as well as the use of multisensor information fusion technology to update the functional training system and discuss whether this new functional training system is in line with the speed and rhythm of the current era compared with the traditional training system. The results of obtaining sports information from different groups of people show that more people know about sports events at home and abroad, reaching 22.5%. Under the same circumstances, 60% of the elderly are willing to pay attention to sports information, while only 30% of the young people are willing to pay attention to sports information. And from 2016 to 2021, the number of people in functional training nationwide has increased from 200,000 to 1.5 million.

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Water Dragon Boat Training Monitoring System Based on Multisensor Data Fusion Technology

Journal of Sensors ◽

10.1155/2021/4183881 ◽

2021 ◽

Vol 2021 ◽

pp. 1-12

Author(s):

Heng Shen

Keyword(s):

Data Fusion ◽

Monitoring System ◽

Estimation Method ◽

Fusion Rule ◽

Fusion Technology ◽

Fusion Rules ◽

Multisensor Data Fusion ◽

Dragon Boat ◽

Multisensor Data ◽

Integration Rules

With the development of science and technology, a variety of electronic devices have entered our lives, making our lives more intelligent and making our work more effective. This article is aimed at studying the application of multisensor data fusion technology to the water dragon boat training monitoring system. In that case, we can analyze the various physical indicators of dragon boat athletes based on the data reflected by these sensors, when they can reach their physical limits and can perform in the best state to obtain the best results. The sensor is used to decompose the relevant data of each part of the athlete’s limbs. This step is based on the image and understands the maximum value of the data to adjust the training goal. This article proposes some data fusion algorithms, using Kalman filter method, Bayesian estimation method, and DS evidence theory algorithm to compare data fusion systems, through the comparison to find the best fusion accuracy, and then get the most suitable method is then applied to this water dragon boat monitoring system to enhance the training efficiency of dragon boat athletes. The experimental results in this paper show that when the value of the parameter increases from 0.97 to 2.5, the average classification accuracy of the k -NN classifier decreases from 0.97 to 0.4, and the accuracy of the fusion results of the three fusion rules is also reduced correspondingly, but in this paper proposed, RP fusion rule still has better performance than the other two fusion rules. When the classifier is k -NN, the three fusion rules increase with the number of sensors, and the accuracy of the fusion results is correspondingly improved. However, the final fusion accuracy obtained by the RP fusion rule proposed in this paper is always better than NB integration rules, and WMV integration rules are higher. Through these analyses, a training program that is most suitable for dragon boat athletes can be worked out, so that the athletes will not be useless. Multisensor data fusion technology brings great convenience to water dragon boat training and can provide more reasonable and accurate data to explore a practical way on the basis of ensuring the safety of personnel.

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Adaptive Fusion Design Using Multiscale Unscented Kalman Filter Approach for Multisensor Data Fusion

Mathematical Problems in Engineering ◽

10.1155/2015/854085 ◽

2015 ◽

Vol 2015 ◽

pp. 1-10 ◽

Cited By ~ 1

Author(s):

Huadong Wang ◽

Shi Dong

Keyword(s):

Kalman Filter ◽

Data Fusion ◽

Observational Data ◽

Measurement System ◽

Unscented Kalman Filter ◽

Measurement Data ◽

Fusion Algorithm ◽

Multisensor Data Fusion ◽

Multiple Sensors ◽

Multisensor Data

In order to improve the reliability of measurement data, the multisensor data fusion technology has progressed greatly in improving the accuracy of measurement data. This paper utilizes the real-time, recursive, and optimal estimation characteristics of unscented Kalman filter (UKF), as well as the unique advantages of multiscale wavelet transform decomposition in data analysis to effectively integrate observational data from multiple sensors. A new multiscale UKF-based multisensor data fusion algorithm is proposed by combining the UKF with multiscale signal analysis. Firstly, model-based UKF is introduced into the multiple sensors, and then the model is decomposed at multiple scales onto the coarse scale with wavelets. Next, signals decomposed from fine to coarse scales are adjusted using the denoised observational data from corresponding sensors and reconstructed with wavelets to obtain the fused signals. Finally, the processed data are fused using adaptive weighted fusion algorithm. Comparison of simulation and experimental results shows that the proposed method can effectively improve the antijamming capability of the measurement system and ensure the reliability and accuracy of sensor measurement system compared to the use of data fusion algorithm alone.

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Based on D - S Evidence Theory of Solution Concentration Detection Method Research

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.494-495.869 ◽

2014 ◽

Vol 494-495 ◽

pp. 869-872

Author(s):

Xian Bao Wang ◽

Shi Hai Zhao ◽

Guo Wei

Keyword(s):

Information Fusion ◽

Evidence Theory ◽

Solution Concentration ◽

Sensor Data ◽

Fusion Technology ◽

Feedback Information ◽

Multiple Sensors ◽

Multi Sensor Data Fusion ◽

Single Sensor ◽

Sensor Information

According to the theory of multi-sensor information fusion technology, based on D - S evidence theory to fuse of multiple sensors feedback information from different angles for detecting solution concentration, and achieving the same judgment; This system uses of D - S evidence theory of multi-sensor data fusion method, not only make up the disadvantages of using a single sensor, but also largely reduce the uncertainty of the judgment. Additionally this system improves the rapidity and accuracy of the solution concentration detection, and broadens the application field of multi-sensor information fusion technology.

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Multisensor Information Fusion-Assisted Intelligent Art Design under Wireless Virtual Reality Environment

Journal of Sensors ◽

10.1155/2021/6119127 ◽

2021 ◽

Vol 2021 ◽

pp. 1-10

Author(s):

Dong Wenhao

Keyword(s):

Information Technology ◽

Virtual Reality ◽

Information Processing ◽

Information Fusion ◽

Environmental Design ◽

Fusion Technology ◽

Virtual Reality Environment ◽

Multisensor Information Fusion ◽

Art Design ◽

Parent Child

Under the background of intelligent technologies, art designers need to use information technology to assist the design of art factors and fully realize the integration of art design and information technology. Multisensor information fusion technology can more intuitively and visually carry out a more comprehensive grasp of the objectives to be designed, maximize the positive effects of art design, and achieve its overall optimization and can also help art designers get rid of the traditional monolithic and obsolete design concepts. Based on multisensor information fusion technology under wireless virtual reality environment, principles of signal acquisition and preprocessing, feature extraction, and fusion calculation, to analyze the information processing process of multisensor information fusion, conduct the model construction and performance evaluation for intelligent art design, and propose an intelligent art design model based on multisensor information fusion technology, we discuss the realization of multisensor information fusion algorithm in intelligent art design and finally carry out a simulation experiment and its result analysis by taking the environment design of a parent-child restaurant as an example. The study results show that using multisensor information fusion in the environmental design of parent-child restaurant is better than using a single sensor for that; at the same time, using force sensors has a better environmental design effect than using vibration sensors. The multisensor information fusion technology can automatically analyze the observation information of several sources obtained in time sequence under certain criteria and comprehensively perform information processing for the completion of the decision-making and estimation tasks required for intelligent art design.

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Intelligent Fault Diagnosis of Photoelectric Pod Bearing Based on Multi-information Fusion

Journal of Physics Conference Series ◽

10.1088/1742-6596/2136/1/012036 ◽

2021 ◽

Vol 2136 (1) ◽

pp. 012036

Author(s):

Chaoyu Wang ◽

Zhi Liu ◽

Yakun Wang

Keyword(s):

Fault Diagnosis ◽

Information Fusion ◽

Fusion Technology ◽

Intelligent Fault Diagnosis ◽

Rolling Bearings ◽

Multiple Sensors ◽

Single Sensor ◽

Equipment State ◽

Fault State ◽

Fault Information

Abstract Intelligent fault diagnosis technology has become the focus of research in various fields. Its realization depends on the acquisition of equipment state by sensors. Because the fault information provided by a single sensor has limitations and cannot fully reflect the fault state of the tested object, we need to use multiple sensors to collect and fuse the fault information of rolling bearings to ensure the accuracy and accuracy of intelligent fault diagnosis. Based on this, this paper analyzes the application of fuzzy rules of multi-sensor information fusion technology in the fault diagnosis of bearings in the optoelectronic pod, so as to provide a reference for the realization of intelligent fault diagnosis of each structure in the optoelectronic pod.

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