Abstract: Recognizing human activity is important for interpersonal interactions and human-to-human communication. Since it provides information on a person's identity, personality, and psychological condition, it is difficult to extract. Multiple activity detection systems are now required in a variety of applications, including robotics for defining human behaviour, human-computer interaction, and video surveillance systems. To do this, we'll combine the OpenCV model with the ML algorithm(like CNN). The developed model will finally be integrated with a website that will use the webcam and provide the result of the activity being performed accurately.
Keywords: Convolutional Neural Network (CNN) ,Human activities recognition (HAR)
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DOI:
10.17148/IJARCCE.2023.12488
