Fraunhofer Center for Assistive Information and Communication Solutions – AICOSFraunhofer Portugal AICOS held on the 5th of July a public session of presentations of the work carried on by AICOS Master Students for their MSc dissertations.
Each one of the eighteen students had the opportunity to provide a presentation of their work and achievements to a broad audience, who included AICOS researchers and collaborators, and external guests.
The presentations were held from 9h00 to 12h00 and from 14h00 to 17h00. Between 12h00 and 13h00, a session of demonstrations allowed the audience to interact more directly with the work developed by the students.
In this session, the students presented the practical applications of their work, from which resulted solutions for areas such as Fall Prevention, Human Activity Prediction, Motion-based physical rehabilitation games, among others.
These MSc theses were developed having in mind the Fraunhofer AICOS orientation for “Research of Practical Utility” and provided very useful results and solutions which might be applied to AICOS’ projects such as Mover, SmartCompanion, EnAware, FUSAMI and others.
This initiative, organized by AICOS for the second year, intends to publicly present the work of its Master students, with the objective of getting the attention of researchers, students and partner institutions.
Since its creation in 2008, Fraunhofer AICOS has received Master students, allowing them to develop their work in a professional environment, oriented to the creation of practical solutions; and benefiting from these students expertise and knowledge, thus resulting in a win-win relationship.
In general, all of AICOS students finish their MSc thesis with excellent grades, and are able to find a job afterwards, whether in AICOS, in industry or in other institutions.
These were the MSc projects presented at the 5th of July session:
Augusto Soares
Visual Prototyping Tool for Android and iOS
Bruno Ferreira
Smartphone Based Fall Prevention Exercises
Carla Abreu
Assisted Coding Technologies for International Classification of Diseases
Carlos Ferreira
Smartphone Based Tele-Rehabilitation
Carlos Tiago Babo
Generic and Parameterizable Service for Remote Configuration of Mobile Phones Using Near Field Communication
Fábio Pinho
Improving geolocation by combining GPS with Image Analysis
Helder Moreira
STAlz: remotely supporting the diagnosis, tracking and rehabilitation of patients with Alzheimer's
Jaime Azevedo
Effective Scheduling of Energy Consumption in Smart Grids
Joana Lobo
Personal Medication Advisor
Joana Silva
Smartphone based Human Activity Prediction
João Ferreira
Behavioral Analytics for Medical Decision Support: Supporting dementia diagnosis through outlier detection
José Pedro Sá
Multi Person Tracking in Real-time Video Streams
Lourenço Castro
Mobile Based Human-Computer Interaction using Electroencephalography and Electromyography
Nuno Matos
PhysicTV - Motion-based physical rehabilitation games for the Google-TV
Paulo Silva
Smartphone Gesture Learning
Pedro Chambino
Android-based implementation of Eulerian Video Magnification for vital signs monitoring
Ricardo Graça
ParkDetect - Early Diagnosing Parkinson's disease
Steven Thomas
QuadAALper - Adapting Quadcopters to Real-Life AAL Application
Source: 08.07.2013, Fraunhofer Portugal