Emotion recognition from geometric fuzzy membership functions
R Vishnu Priya - Multimedia Tools and Applications, 2019 - Springer
The posterity challenging task in the Machine Intelligence field is to design a smarter system
to identify the human emotions. Facial Emotion Recognition (FER) is a significant visual …
to identify the human emotions. Facial Emotion Recognition (FER) is a significant visual …
MQSMER: a mixed quadratic shape model with optimal fuzzy membership functions for emotion recognition
R Vishnu Priya, V Vijayakumar… - Neural Computing and …, 2020 - Springer
The traditional geometrical-based approaches used in facial emotion recognition fail to
capture the uncertainty present in the quadrilateral shape of emotions under analysis, which …
capture the uncertainty present in the quadrilateral shape of emotions under analysis, which …
A novel geometric fuzzy membership functions for mouth and eye brows to recognize emotions
RV Priya, R Bharat - Concurrency and Computation: Practice …, 2021 - Wiley Online Library
In this article, the novel geometrical fuzzy membership functions are proposed to accurately
recognize the emotions. The four corner features are taken from both the eyebrows and …
recognize the emotions. The four corner features are taken from both the eyebrows and …
[引用][C] Automated recognition system for facial expression based on the fusion of spatial and frequency domain features
R Suresh, S Audithan - ARPN Journal of Engineering and Applied Sciences, 2006