A method for facial emotion recognition based on interest points
Date
2018Author
Álvarez, Víctor M.
Velázquez, Ramiro
Gutiérrez, Sebastián
Enríquez Zárate, Josué
Metadata
Show full item recordAbstract
Current facial recognition techniques allow to automatically determine human emotions through a digital image of the face. The present study employs interest points as landmarks in facial images affected by some emotion and compares their positions with those of a neutral expression. We seek to establish a relationship between the obtained results and the ones proposed by Paul Ekman's FACS (Facial Action Coding System) tool to determine the viability of an emotion recognition algorithm as well as some possible guidelines for its implementation. © 2018 IEEE.
Collections
Related items
Showing items related by title, author, creator and subject.
-
Facial emotion recognition : a comparison of different landmark-based classifiers
Álvarez, Víctor M.; Sánchez-Gómez, Claudia; Gutiérrez, Sebastián; Domínguez Soberanes, Julieta; Velázquez, Ramiro (Institute of Electrical and Electronics Engineers Inc., 2018)As stated by Ekman in his Facial Action Coding System (FACS), facial expressions can be interpreted as the activation of different sets of facial muscles. This recognition skill, however, demands extensive training and is ... -
A multisensor data fusion approach for predicting consumer acceptance of food products
Velázquez, Ramiro (MDPI Multidisciplinary Digital Publishing Institute, 2020-06-11)Sensory experiences play an important role in consumer response, purchase decision, and fidelity towards food products. Consumer studies when launching new food products must incorporate physiological response assessment ... -
Similarity learning for cnn-based asl alphabet recognition
Perez-Daniel, Karina Ruby (IOS Press BV, 2021)Sign language is an important communication way to convey information among the deaf community, and it is primarily used by people who have hearing or speech impairments. Besides, sign language represents a direct ...