Intelligent Human Computer Interface Devices based on Neural Network

Intelligent solutions based on artificial intelligence (AI) techniques, algorithms, and sensor technologies are needed to give computers human communication abilities and to allow for organic human-computer interaction. In order to investigate trends in human–computer intelligent interaction (HCII) research, classify the available evidence, and determine possible avenues for future investigation, this study sought to identify and analyze the most advanced AI techniques, algorithms, and sensor technologies in the body of existing HCII research. We map the corpus of research on HCII in a methodical manner. Intelligent emotion, gesture, and facial expression identification, false news, and face anti-spoofing detection have been the main areas of study in the HCII domains. This research examines face anti-spoofing detection based on HCII utilizing various machine learning techniques.