为了实现在微处理器上运行眼动信号分类算法,精简嵌入式系统设计,提高系统效率,文章对比研究了STM32CubeMX AI和NanoEdge AI 2种可在微处理器上部署人工智能算法的技术手段。首先以眼电数据为基础,分别利用2种技术实现分类算法在微处理...为了实现在微处理器上运行眼动信号分类算法,精简嵌入式系统设计,提高系统效率,文章对比研究了STM32CubeMX AI和NanoEdge AI 2种可在微处理器上部署人工智能算法的技术手段。首先以眼电数据为基础,分别利用2种技术实现分类算法在微处理器上进行部署;然后在微处理器中运行分类算法,对眼电信号进行分类;最后对比分析2种分类方法的优缺点。实验结果表明,2种部署方式各有利弊,利用STM32CubeMXAI实现分类部署的方法首先需要在上位机中实现分类算法,有一定的执行难度,但可以更加有效地提高分类准确度;利用NanoEdge AI实现分类部署的方法可以避免上位机算法的调试,但无法实现针对不同信号进行具体设计。展开更多
With the improvement of people’s living standards,the demand for health monitoring and exercise detection is increasing.It is of great significance to study human activity recognition(HAR)methods that are different f...With the improvement of people’s living standards,the demand for health monitoring and exercise detection is increasing.It is of great significance to study human activity recognition(HAR)methods that are different from traditional feature extraction methods.This article uses convolutional neural network(CNN)algorithms in deep learning to automatically extract features of activities related to human life.We used a stochastic gradient descent algorithm to optimize the parameters of the CNN.The trained network model is compressed on STM32CubeMX-AI.Finally,this article introduces the use of neural networks on embedded devices to recognize six human activities of daily life,such as sitting,standing,walking,jogging,upstairs,and downstairs.The acceleration sensor related to human activity information is used to obtain the relevant characteristics of the activity,thereby solving the HAR problem.By drawing the accuracy curve,loss function curve,and confusion matrix diagram of the training model,the recognition effect of the convolutional neural network can be seen more intuitively.After comparing the average accuracy of each set of experiments and the test set of the best model obtained from it,the best model is then selected.展开更多
利用Mod Bus现场总线技术,设计一种工业网关,实现了Mod Bus RTU与Mod Bus Tcp/IP两种模式下的转换功能。网关与上位机之间通信采用了Mod Bus TCP协议、与被采集数据设备之间采用了Mod Bus RTU协议。网关硬件基于STM32F407控制和LAN8720...利用Mod Bus现场总线技术,设计一种工业网关,实现了Mod Bus RTU与Mod Bus Tcp/IP两种模式下的转换功能。网关与上位机之间通信采用了Mod Bus TCP协议、与被采集数据设备之间采用了Mod Bus RTU协议。网关硬件基于STM32F407控制和LAN8720芯片,软件基于keil u Vision5开发编译环境和STM32Cubemx的开发工具以及freertos的实时操作系统。经过试验测试及现场应用,结果表明,该网关具有工业通讯实时性高、可靠性强和安全性高等优点,同时具有低成本、低能量和高容错性等特点,可以满足工业应用实时性、可靠性和安全性的要求。展开更多
文摘为了实现在微处理器上运行眼动信号分类算法,精简嵌入式系统设计,提高系统效率,文章对比研究了STM32CubeMX AI和NanoEdge AI 2种可在微处理器上部署人工智能算法的技术手段。首先以眼电数据为基础,分别利用2种技术实现分类算法在微处理器上进行部署;然后在微处理器中运行分类算法,对眼电信号进行分类;最后对比分析2种分类方法的优缺点。实验结果表明,2种部署方式各有利弊,利用STM32CubeMXAI实现分类部署的方法首先需要在上位机中实现分类算法,有一定的执行难度,但可以更加有效地提高分类准确度;利用NanoEdge AI实现分类部署的方法可以避免上位机算法的调试,但无法实现针对不同信号进行具体设计。
文摘With the improvement of people’s living standards,the demand for health monitoring and exercise detection is increasing.It is of great significance to study human activity recognition(HAR)methods that are different from traditional feature extraction methods.This article uses convolutional neural network(CNN)algorithms in deep learning to automatically extract features of activities related to human life.We used a stochastic gradient descent algorithm to optimize the parameters of the CNN.The trained network model is compressed on STM32CubeMX-AI.Finally,this article introduces the use of neural networks on embedded devices to recognize six human activities of daily life,such as sitting,standing,walking,jogging,upstairs,and downstairs.The acceleration sensor related to human activity information is used to obtain the relevant characteristics of the activity,thereby solving the HAR problem.By drawing the accuracy curve,loss function curve,and confusion matrix diagram of the training model,the recognition effect of the convolutional neural network can be seen more intuitively.After comparing the average accuracy of each set of experiments and the test set of the best model obtained from it,the best model is then selected.
文摘利用Mod Bus现场总线技术,设计一种工业网关,实现了Mod Bus RTU与Mod Bus Tcp/IP两种模式下的转换功能。网关与上位机之间通信采用了Mod Bus TCP协议、与被采集数据设备之间采用了Mod Bus RTU协议。网关硬件基于STM32F407控制和LAN8720芯片,软件基于keil u Vision5开发编译环境和STM32Cubemx的开发工具以及freertos的实时操作系统。经过试验测试及现场应用,结果表明,该网关具有工业通讯实时性高、可靠性强和安全性高等优点,同时具有低成本、低能量和高容错性等特点,可以满足工业应用实时性、可靠性和安全性的要求。
