MAmI

Modelling Ambient Intelligence

The principal objective of this research group is to adapt technologies in order to model contexts in which the user interaction is minimised or disappears such that users perceive assistance as coming from their surrounding environment. 

The group therefore works on research lines that are appropriate to Ambient Intelligence via the use of identification technologies such as implicit, absorbed or contact input. The group focuses on RFID (Radiofrequency Identification) and NFC (Near Field Communication) technologies. It also adopts mobility as a solution to problems in the areas of health and dependency. 

Research lines

Applied Ambient Intelligence and Adapted Technologies

  • Knowledge Management and Context Awareness
  • Natural Interaction and Intelligent User Interfaces
  • Intelligent Systems and Machine Learning
  • Video and Audio Analysis.
  • Mobile computing
  • Sensing, Wearable and Biomedical devices

Key areas of application

  • Health Monitoring (Chornic diseases, Gait analysis, Dementia, Frailty)
  • Assistive Technologies (Implicit interaction, Serious games, Physical and cognitive rehabilitation, Analytics)
  • Behaviour Computing (Interactive & immersive environments, Affective computing, Neuroscience, Biofeedback)

Contact information

Dr. Jose Bravo Rodriguez
Jose.Bravo@uclm.es
Tel.: (+34) 926 295 300 ext. 3713
Fax: (+34) 926 295 354


Website

http://mami.uclm.es