Dissertação/Estágio - Atribuidos em Plurianual 2014/2015 - 2015/2016
Titulo Estágio
SMITH EMME - Smart MonITor Health system: EMotions & MicroExpressions
Áreas de especialidade
Sistemas Inteligentes
Local do Estágio
Laboratório de Computação Adaptativa (LARN)
Enquadramento
Would you like to know when someone is lying?
Or when someone is scared and afraid of showing it?
Let us put this in another way… Who wouldn't like to have the capabilities of Dr. Cal Lightman from "Lie to me" series?
The emotion and micro-expression detection has been object of study for a long time, namely, on the psychology fields. Dr. Paul Ekman from UCSF (USA) is well-known for furthering our understanding of nonverbal behavior, encompassing facial expressions.
"Lie to me" series is based on his work and has caught the attention of consumers and professionals namely from the media & advertising market. He has put forth six basic emotions: Anger, Disgust, Fear, Happiness, Sadness, Surprise.
In computer science, the study of systems that can recognize, interpret and process emotions, known as Affective Computing, can enhance greatly human-machine interactions. From e-learning to e-therapy and marketing, the industrial applications for such technologies are endless!
Objetivo
The main goal of this research project is to develop a system for automatic emotion detection, analysis and recognition. This project is going to investigate emotional pattern discovery, modelling & recognition with appropriate pattern recognition techniques. The six basic emotions identified by Dr. Paul Ekman will be the basis for the pattern recognition project.
Plano de Trabalhos - Semestre 1
- State of the Art Review (September 2014)
- Dataset Gathering & Model Definition (October 2014)
- Evaluation of Classification and Machine-Learning Methodologies (November-December 2014)
- Intermediate MSc Report (January 2015)
Plano de Trabalhos - Semestre 2
- System & Algorithm Implementations (February - May 2015)
- Testing & Results Evaluation (March - May 2015)
- MSc Dissertation (May - June 2015)
Condições
The student will be able to prove that deserves a full research scholarship on the second semester. In order to be successfully eligible for a scholarship (350€/month), the student needs to be outstanding on the first semester work plan.
Additionally, there is the possibility for a one year paid internship in the company after Master’s conclusion.
The work plan will be performed at LARN@DEI (LAboratorio de Redes Neuronais at Departamento de Engenharia Informática). On top of this, the student has the opportunity to incorporate in the company for a few weeks during the second semester.
Profile:
Student should have:
- Attitude is first on the list!!
- Tons of energy
Student should be:
- Confident
- Ambitious
- Self-motivated
- Highly Adaptable
- Self-starter
- Quick Learner
Student should have interest (or academic experience) in at least one of the following:
- Pattern Recognition
- Artificial Intelligence
- Computer Vision
Observações
EyeSee is a technological startup, funded by Olisipo, focusing on intelligent systems. As of today, EyeSee developed a novel digital advertising solution with unique insertion and interaction features, owning 5 patents in USPTO. Additionally, EyeSee team is working on a smart energy management product and on a smart health monitoring system.
Olisipo is an IT outsourcing company with more than 20 years of experience in the portuguese market and with more than 500 employees in some of the main portuguese companies. Recently, Olisipo decided to make a very strong bet on innovation and entrepreneurship, creating “Olisipo ADN - Ambiente de Desenvolvimento de Negócios”. Olisipo ADN counts with 6 startups, namely EyeSee, and currently funds ten innovation projects. This bet on innovative products and solutions focus on 4 areas: Better Life, Digital Advertising, Smart Energy and Machine-to-Machine.
This is a brilliant opportunity to gain exposure to a dynamic, fun and outstanding technology company.
Orientador
Bernardete Ribeiro (bribeiro@dei.uc.pt), André Pimentel (andre.pimentel@eyesee.pt)
bribeiro@dei.uc.pt 📩