A Sport Monitoring System Based on the Optimized Adaptive Fuzzy PID Control Algorithm in OneNet Internet of Things and Cloud Platform

Zhang, Di; Min, Hyun Joo

doi:10.1155/2022/8234066

Cited by 2 publications

(2 citation statements)

References 38 publications

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“…Multiple samples are selected as robustness test data for the above algorithm [26][27][28]. Relevant studies show that the robustness recognition rate of class activation model is higher than that of other methods under different number of training samples [29][30][31].…”

Section: Robust Analysismentioning

confidence: 99%

Leisure Sports Behavior Recognition Algorithm Based on Deep Residual Network

Chou

2022

Scientific Programming

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Aiming at the related problems existing in the field of leisure sports computing, in order to study the behavior recognition of leisure sports by deep residual network, based on the deep residual neural network theory, the behavior recognition algorithm and the corresponding robust model are used to analyze the leisure sports related samples, and the correlation model is used to predict and analyze the leisure sports related content. The results show that the change curves of Sig and Tanh functions can be divided into slow increasing stage, linear increasing stage, and stable stage. The y value corresponding to ReLU curve shows a linear change trend with the increase of x value. The Leaky function’s corresponding curve can be divided into two stages. The function coincides with the ReLU function in the first quadrant and remains linear in the third quadrant. The activation function curves corresponding to layers 56 and 20 have a relatively large variation range, and both of them show an overall trend of gradual decline. On the whole, the curve value corresponding to layer 56 is higher than that corresponding to layer 20, indicating that the method of layer 20 is relatively good and the corresponding training error is relatively low. It can be seen from the robustness recognition rate of various methods under different training samples that Fl has the highest overall data recognition rate while Sc has relatively poor stability. However, the recognition rate of IDCC and DCC shows a relatively flat trend, indicating that these two methods have certain advantages in describing the robust recognition rate. The research results can provide theoretical support for the application of deep residual neural networks in other fields.

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Section: Robust Analysismentioning

confidence: 99%

Leisure Sports Behavior Recognition Algorithm Based on Deep Residual Network

Chou

2022

Scientific Programming

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“…However, the age-appropriate intelligent security inspection system for the elderly is still in the development stage, and the security inspection service system is closely related to the health of the elderly and plays an important role in the life of the elderly. This paper adopts the technology of combining multi-sensor and Internet of Things platform to design an intelligent security inspection system for the elderly living alone based on the OneNET cloud platform [11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Security Inspection System for the Elderly Living Alone

2022

JRSE

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As our country gradually enters the age of aging, in view of the problems of high cost, complicated operation and insufficient humanization in the traditional interaction mode of the Internet of Things system, this paper designs an intelligent security inspection system for the elderly living alone based on the Internet of Things. The system consists of OneNET cloud platform, AIR208S module and STM32 lower computer module, and realizes two-way communication between STM32 lower computer and OneNET upper computer through MQTT protocol. The STM32 lower computer system in this paper consists of a data acquisition module, a heart rate monitoring module, a GPS positioning module, an intelligent alarm module, a central control module and a data communication module to form a closed-loop control system. Through the actual test, the system can realize real-time positioning, indoor temperature and humidity collection, real-time monitoring of heart rate and blood oxygen saturation, automatic detection of smoke and gas leakage, intelligent alarm and control of smart home equipment and other functions. In order to "guard" the health and safety of the elderly living alone, a full-cycle intelligent intelligent security inspection method is provided, which can effectively ensure the life safety of the elderly living alone and alleviate the pension problems of the elderly living alone.

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A Sport Monitoring System Based on the Optimized Adaptive Fuzzy PID Control Algorithm in OneNet Internet of Things and Cloud Platform

Cited by 2 publications

References 38 publications

Leisure Sports Behavior Recognition Algorithm Based on Deep Residual Network

Leisure Sports Behavior Recognition Algorithm Based on Deep Residual Network

Intelligent Security Inspection System for the Elderly Living Alone

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