Ambient Intelligence English

Professors: Wouter Teeuw, Hans Schaffers
Associate professor: Wilco Bonestroo
Company professor: Jan Laahuis
Visiting professor: Nirvana Meratnia
 

Ambient Intelligence: Vision and research areas

The term 'Ambient Intelligence' envisions future environments that are aware of the presence of people, their behaviour, or even their intentions, and accordingly respond to it. Ambient intelligence is the concept of a ubiquitous technology that is embedded in our daily lives. Sensors, devices, networks and people interact to support people in carrying out their daily life tasks and activities. Such environments are aware of, and able to adapt and anticipate to, the presence and behaviour of people, objects and contextual factors such as events, location, resources and identity.

 

“The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it” (Mark Weiser, Xerox Park)


Ambient intelligence is enabled by several key innovations such as the miniaturisation of sensors, the adding of intelligence and control through integration of computing and reasoning capabilities, the connection of sensors and devices in wireless networks, and thus the embedding of sensing and computing capabilities into the human environment. The Ambient Intelligence Research Group develops knowledge on three research lines:

  • Mobile and wearables: Sensors, computational intelligence and wireless networks enable the connection and networking of physical objects into cyber-physical systems within the currently emerging “Internet of Things”. We focus on ambulant measuring of people (physiological parameters, biomechanical parameters, positioning), measuring parameters of machines, data filtering and sensor fusion, and embedded software development.
  • Situational awareness: Sensor systems generate large volumes of data which can be analysed and used in Big Data applications. This development is now giving rise to innovative processes, products and services in sectors such as manufacturing, health, sports or retail. We focus on (bottom-up) data analysis, knowledge systems, learning systems, decision support, and advanced algorithms.
  • Behaviour support: Increasingly, systems are able to learn about human behaviour and will be capable to anticipate to such behaviour. In this way, users and systems will be able to better interact and even work together, or can even be influenced into the desired direction (nudging). We focus on persuasive technology and visualisation (augmented reality).

Ambient Intelligence Research and Innovation Projects

Our research and innovation projects are initiated, developed and carried out in close collaboration among researchers, developers, industry, public authorities and end-users. Our projects always address innovative and practical solutions for real-life problems, targeting societally significant application areas. We focus on three application area’s:

Ambient Intelligence for Safety and Security

Projects in the scope of safety and security aim at supporting people in complex tasks. In Firebee and SaxShoe intelligent solutions have been developed to locate firemen in large buildings, making use of sensors in shoes connected within a wireless sensor network. The MoSeS project (Mobile Sensing for Safety) develops innovative mobile applications supporting rescuers and support services, for example in disaster situations. A sensor-based system has been developed aimed at on-distance monitoring of wellbeing of firemen. The platform helps rescue services to acquire a precise insight in evolving situational contexts related to disasters, and helps rescue teams to respond or anticipate and work together.

Ambient Intelligence in Health and Sports

Emphasis of research in this domain is on developing decision support systems for monitoring physiological and biomechanical parameters relevant for sporters and in healthy working environments. The SaxShirt project, e.g., developed a sensor platform including software infrastructure and smart applications embedded in a shirt. The research focuses on the interpretation of sensor data and user feedback for risk analysis in various applications for sports, emergency and rescue tasks, and healthcare. The project XoSoft develops an exoskeleton of soft material (a trouser). Emphasis of our part is on monitoring and user feedback. Within the project Innovative Technology for Enhanced Performance of Athletes the aim is to integrate existing and novel technological systems into sports in order to optimize training and prevent for injuries.

Ambient Intelligence for Smart Industry

Our research related to smart industry focuses on data measuring and analysis with respect to machines and working environments, like predictive maintenance. The GoGreen project develops intelligent energy-aware systems that learn people’s behaviour, understanding their needs and providing reliable feedback in terms of best practices for energy use and distribution, intelligent selection among different energy sources, and allowing people to be in control. The project Safety@Work focusses on how to (automatically) behave safe in an industrial environment.

Besides we participate in projects from other Reseach Groups of Saxion, in other application areas like Smart Cities or Sustainability, to bring in our knowledge on sensor systems and data analysis.

Information

For information please contact Wouter Teeuw, w.b.teeuw@saxion.nl,, P: +31 6 2091 7481

Naorobot Saxion