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<p>With the rapid development of technology, sports monitoring technology is increasingly widely applied in fields such as education, sports training and health management. However, when collecting, transmitting and processing a large amount of sports data, sports monitoring devices are confronted with severe security challenges in network big data. Problems such as data leakage, illegal access and tampering not only threaten users’ privacy and security, but also affect the accuracy and reliability of sports monitoring results. This study designs a low-energy-consumption wearable optical sensing imaging device, integrating encryption technology, secure communication protocols and data access control mechanisms to ensure the security of data during the processes of collection, transmission and storage. By optimizing algorithms and hardware design, efficient data encryption and secure transmission on low-energy consumption devices have been achieved. The collected data is processed by using the motion trajectory analysis algorithm, and the motion quality is evaluated by using the machine learning algorithm. In the experiment, the effectiveness and safety of the system were verified by comparing the data acquisition and energy consumption performance of traditional equipment and the low-energy consumption equipment developed in this study under different motion modes. The experimental results show that the developed low-energy consumption equipment has high accuracy and real-time performance in the capture of motion trajectories and quality assessment. Compared with traditional equipment, the energy consumption of this device is significantly reduced, and it can maintain stable performance during long-term motion monitoring. By adopting encryption technology and security protocols, the security of data has been effectively guaranteed, and no data leakage or tampering has occurred. The system adopts AES encryption algorithm and blockchain technology during data transmission and storage, ensuring the confidentiality and integrity of the data.</p>

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Low energy consumption devices and sensor imaging based on network big data security for motion monitoring and analysis

  • 期刊论文

  • 发表日期：

    2025年11月20日

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  • Wang Juhua

摘要

With the rapid development of technology, sports monitoring technology is increasingly widely applied in fields such as education, sports training and health management. However, when collecting, transmitting and processing a large amount of sports data, sports monitoring devices are confronted with severe security challenges in network big data. Problems such as data leakage, illegal access and tampering not only threaten users’ privacy and security, but also affect the accuracy and reliability of sports monitoring results. This study designs a low-energy-consumption wearable optical sensing imaging device, integrating encryption technology, secure communication protocols and data access control mechanisms to ensure the security of data during the processes of collection, transmission and storage. By optimizing algorithms and hardware design, efficient data encryption and secure transmission on low-energy consumption devices have been achieved. The collected data is processed by using the motion trajectory analysis algorithm, and the motion quality is evaluated by using the machine learning algorithm. In the experiment, the effectiveness and safety of the system were verified by comparing the data acquisition and energy consumption performance of traditional equipment and the low-energy consumption equipment developed in this study under different motion modes. The experimental results show that the developed low-energy consumption equipment has high accuracy and real-time performance in the capture of motion trajectories and quality assessment. Compared with traditional equipment, the energy consumption of this device is significantly reduced, and it can maintain stable performance during long-term motion monitoring. By adopting encryption technology and security protocols, the security of data has been effectively guaranteed, and no data leakage or tampering has occurred. The system adopts AES encryption algorithm and blockchain technology during data transmission and storage, ensuring the confidentiality and integrity of the data.