Human Activity Recognition Model Using CNN a...

Human Activity Recognition Model Using CNN and LSTM

Author Name : Harsimran Singh

DOI: https://doi.org/10.56025/IJARESM.2024.120724110

ABSTRACT Perceiving human actions is viewed as exceptionally fundamental in interpersonal interaction and interpersonal relationships because of its inclination of giving data in regards to a group's nature, including members' personalities and psychological health. The comparison is conducted on any kind of remark against a predetermined pattern in machine vision, and the activity is recognized and labelled later on. The SVM is the classifier which is applied in the previously for recognizing the activities of individuals. The SVM classifier performs poorly at identifying human activities, necessitating the development of innovative models. The presented work suggests a hybrid approach in which Convolutional Neural Network is integrated with Long Short-Term Memory Network Model. The proposed approach achieves accuracy of upto 98 percent for the human activity recognition.