Object Recognition in Human Computer Interaction:- A Comparative Analysis
Kaushik Ranade, Tanmay Khule, Riddhi More·November 06, 2024
Summary
The paper evaluates algorithms for face and gesture recognition in computer vision and human-computer interaction (HCI), focusing on accuracy, robustness, and efficiency. The goal is to enhance interactive systems' intuitiveness, efficiency, and user-friendliness. Key techniques include Eigenfaces, Viola-Jones, HOG + CNN, and key point-based methods. The proposed HCI system uses advanced face recognition for security and real-time gesture recognition for intuitive user interaction. Deep learning methods, particularly CNNs, are highlighted for their high accuracy and robustness in face and gesture recognition. The text discusses various research papers focusing on human-computer interaction using vision techniques, including human activity recognition, real-time human action and gesture recognition for interface design, and hand gesture recognition.
Advanced features