September 2023
Intermediate to advanced
464 pages
12h 34m
English
book
Robotic Process Automation
by Romil Rawat, Rajesh Kumar Chakrawarti, Sanjaya Kumar Sarangi, Rahul Choudhary, Anand Singh Gadwal, Vivek Bhardwaj
Content preview from Robotic Process Automation
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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 ...
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