LOCAL FEATURE SELECTION USING THE WRAPPER APPROACH FOR FACIAL EXPRESSION RECOGNITION

Autor: Fatima Zohra BOUKHOBZA, Abdenour HACINE GHARBI, Khaled ROUABAH, Phillipe RAVIER

Publikováno v: Jordanian Journal of Computers and Information Technology, Vol 10, Iss 4, Pp 367-382 (2024)

Automatic Facial Expression Recognition (FER) systems provide an important way to express and interpret the emotional and mental states of human beings. These FER systems transform the facial image into a set of features to train a classifier capable

Externí odkaz: https://doaj.org/article/11cb4ccf93d640c0a8bf1834c5a40365

On the optimal number estimation of selected features using joint histogram based mutual information for speech emotion recognition

Autor: Abdenour Hacine-Gharbi, Philippe Ravier

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 9, Pp 1074-1083 (2021)

Mutual information (MI) has been previously used to select the relevant features for the task of speech emotion recognition (SER). However, the procedure does not deliver the optimal number of relevant features. We propose MI based criterion for esti

Externí odkaz: https://doaj.org/article/57cdb7cb8ffb40728117e457220c8634

Surface EMG signal segmentation based on HMM modelling: Application on Parkinson’s disease

Autor: Abdenour Hacine Gharbi, Hichem Bengacemi, Philippe Ravier, Karim Abed-Meraim, Olivier Buttelli

Publikováno v: ENP Engineering Science Journal. 1:63-74

The study of burst electromyographic (EMG) activity periods during muscles contraction and relaxation is an important and challenging problem. It can find several applications like movement patterns analysis, human locomotion analysis and neuromuscul

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::815770bc079f7611ad0b6e47106e9426
https://doi.org/10.53907/enpesj.v1i1.27

On the optimal number estimation of selected features using joint histogram based mutual information for speech emotion recognition

Autor: Philippe Ravier, Abdenour Hacine-Gharbi

Publikováno v: Journal of King Saud University-Computer and Information Sciences
Journal of King Saud University-Computer and Information Sciences, Elsevier 2021, 33 (9), pp.1074-1083. ⟨10.1016/j.jksuci.2019.07.008⟩
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 9, Pp 1074-1083 (2021)

Mutual information (MI) has been previously used to select the relevant features for the task of speech emotion recognition (SER). However, the procedure does not deliver the optimal number of relevant features. We propose MI based criterion for esti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0837a102789897fa4d2568e3274802b8
https://hal-univ-orleans.archives-ouvertes.fr/hal-03520103

Discrete Wavelet based Features for PCG Signal Classification using Hidden Markov Models

Autor: Rima Touahria, Abdenour Hacine-Gharbi, Philippe Ravier

Publikováno v: ICPRAM

International audience

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d58ec9dcd07035f5271e0aff4746e4
https://doi.org/10.5220/0010343003340340