Human Action Recognition Using Deep Learning

Computer Application

Human activity recognition is essential for human-to-human interaction and interpersonal relationships because it reveals information about a person’s identity, personality, and psychological state, making it difficult to extract. The ability to recognize another person's activities is a primary focus in computer vision and machine learning. This research is crucial for many applications, including video surveillance systems, human-computer interaction, and robotics for characterizing human behavior. In image and video analysis, human activity recognition is a major research area, with numerous papers published on the topic in video and image sequences. In this paper, we propose a deep learning-based Convolutional Neural Network (CNN) algorithm using OpenCV to train datasets and recognize human actions and activities.

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