Robotic Process Automation

12Comparative Overview of FER Methods for Human-Robot Interaction Using Review Analysis

Jitendra Sheetlani¹*, Mohit Kadwal¹, Sumanshu Sharma², Sanat Jain³ and Shrikant Telang⁴

¹MCA Department, Medi-Caps University, Indore, India

²Computer Science, SSSUTMS, Sehore, (M.P.), Sehore, India

³Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, India

⁴Department of Information Technology, Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India

Abstract

Facial expressions can convey indications of a person’s emotional state, which together with the voice, language, hands, and body language, makes up the basic system of communication between people in a social setting. Personal Face Recognition is one of the most powerful and challenging activities in social media. Generally, facial expressions are a natural and direct way for people to express their feelings and intentions. Facial expressions are important aspects of non-verbal communication. Facial expressions can be used for expressing human emotion. Over the past few decades, FER facial recognition (FER) has become an exciting area of research and has made great strides in computer vision. FER is the recognition of a person’s emotional state associated with biometric factors. Creating a personal FER system based on a machine is a daunting task. Various FER systems are developed by analyzing facial muscle movements and skin flexibility based on algorithms. In the standard FER system, advanced algorithms ...