Image recognition algorithm for exercise fatigue based on FPGA processor and motion image capture

摘要

Fatigue affects physical and cognitive abilities. Exercise fatigue is typical physical activity fatigue structured and reused for adjustment purposes. Physical exercise fatigue can be symptoms common in everyday life; it is due to muscle fatigue. However, fatigue is sometimes, for such to properly evaluate, suspicion and the need for chronic conditions such as diabetes that are far more intense. It is easy to determine exercise fatigue; the issue is that it is still a large amount. Stuff (population) this same Internet That Internet links different products through all the Internet. It connects an item to one person, one object one-person, to achieve the goal efficiently. Exercise fatigue integrated services to Improve Internet of Things (IoT)-based image recognition system. The core technology of such IoT-based image editing systems is the Convolutional K- Means (CKM) method for clustering a statisticallybased image analysis. The proposed identification is measured in the company of corporeal tiredness based on Electromyogram (EMG) sensor individual user gossips grounded on IoT and Field Programmable Gate Array (FPGA). The proposed simulation results show that it is possible to classify individuals who are tired of gaining accuracy when using exercise images.