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Research

Participants will work in groups of 2-3 persons, supervised by one or more professors of the University of Oviedo. Teams will be configured at the beginning of the camp taking into account the skills of all the participants. The projects will be assigned to the teams by the directors of the camp, according -as far as possible- to students preferences. 

Typical candidate research projects make use of android mobile development, computer vision, data mining, machine learning, and deep learning techniques to find solutions for research problems. Some examples of projects from previous editions:

  • Automatic determination of the way a user is carrying a smartphone
  • Automatic user laterality detection by observing smartphone usage patterns
  • Biometrics using mobile device sensors
  • Evaluation of machine learning algorithms for image recognition from UAVs
  • SensDSL: A Domain-Specific Language to Automate Tasks that use Android Sensors
  • Ontology to represent public incidents and collaborative interface to manage them
  • Using the OBD II port to prevent vehicle accidents collectively and avoid inefficient ways of driving
  • Designing a metamodel and a domain-specific language to define the data to be extracted from the OBD II port in vehicles
  • Smart Nose for the administration of places using Artificial Intelligence
  • Predictive maintenance and quality control in 3D printing processes
  • Intelligent geolocated mobile robot which detect efficient locations to place mobile solar panels
  • Semantic integration of streaming data using RDF Data Shapes Detection of heart problems using low-cost mobile technology.

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