In this paper study about Hyper-Dimensional Computing (HDC) for different applications. The architectural supports energy-efficient, fast, and scalable search operations using three generally utilized design methodologies. To grasp underlying circumstances and interact with their settings, many Internets of Things (IoT) apps rely on human action recognition. Machine learning is a popular technique for identifying actions based on sensor data. The application of a brain-inspired hyperdimensional computing technology to because IoT systems have a hard time recognizing activities, making activity detection easier is a good solution. can improve accuracy and efficiency. The model training was sped up by up to 468 times when compared to advanced training of Neural network.
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