| KEYWORD |
AI-powered Framework for Emotion Recognition from Basic Facial Expressions
Parole chiave EMOTION RECOGNITION, IMAGE PROCESSING, MACHINE LEARNING, ARTIFICIAL NEURAL NETWORKS, MALATTIE NEUROLOGICHE
Riferimenti GABRIELLA OLMO
Riferimenti esterni Dr. Irene Rechichi - irene.rechichi@polito.it
Dr. Gianluca Amprimo - gianluca.amprimo@polito.it
Gruppi di ricerca DAUIN - GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO
Tipo tesi SPERIMENTALE APPLICATA
Descrizione The Thesis is part of a project on image processing for facial expression recognition. The purpose is to perform an automatic detection of emotions from pictures or videos recorded on consumer-grade devices.
In more detail, the candidate will:
1) Analyse images (RGB and grayscale) and videos included in publicly available datasets,
2) Localise facial landmarks through specific processing libraries,
3) Pre-process the extracted data to identify a smaller subset that effectively characterises facial expressions and emotional features,
4) Build a framework for lightweight, automatic detection of emotions from the selected facial landmarks. Machine or Deep Learning approaches are encouraged.
Conoscenze richieste Knowledge of Python, C++, or Matlab. Interest in Artificial Intelligence applications. Basic knowledge of Image and/or Signal Processing.
Scadenza validita proposta 10/03/2023
PROPONI LA TUA CANDIDATURA