HUMAN ACTIVITIES RECOGNITION USING SHAPE MOMENTS AND HISTOGRAM OF NORMALIZED DISTANCES “HND”

machine and deep learning approaches for human activity recognition

Light Weight Human Activity Recognition using Raspberry PI IoT Edge and Reduced Features from Smartphones

Abnormal Human Activity Recognition in Video Surveillance: A Survey

Human Verification System Based on Gait Recognition using Active Horizontal Levels (AHL) Feature

Improvement of the performance analysis of activation functions based on DLLSTM classifiers on Human Activity Recognition for classification

Human State Recognition Using EEG Signal

HUMAN FACE DETECTION USING MOBILE PHONES

Video Analysis For Human Action Recognition Using Deep Convolutional Neural Networks

HUMAN MOTION ANALYSIS, RECOGNITION AND UNDERSTANDING IN COMPUTER VISION: A REVIEW