| KEYWORD |
AI-powered Framework for Emotion Recognition from Basic Facial Expressions
keywords EMOTION RECOGNITION, IMAGE PROCESSING, MACHINE LEARNING, ARTIFICIAL NEURAL NETWORKS, MALATTIE NEUROLOGICHE
Reference persons GABRIELLA OLMO
External reference persons Dr. Irene Rechichi - irene.rechichi@polito.it
Dr. Gianluca Amprimo - gianluca.amprimo@polito.it
Research Groups DAUIN - GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO
Thesis type SPERIMENTALE APPLICATA
Description 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.
Required skills Knowledge of Python, C++, or Matlab. Interest in Artificial Intelligence applications. Basic knowledge of Image and/or Signal Processing.
Deadline 10/03/2023
PROPONI LA TUA CANDIDATURA