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About ISS

Intelligent Sensor System (ISS) is a research profile at the School of Innovation, Design and Engineering at Mälardalen University.Within the ISS profile, research is multidisciplinary and spans over areas such as Biomedical Engineering, Artificial Intelligence, Robotics, Computer Communication and Electronic Circuit Design. The research is applied, focusing towards mobile, intelligent sensor systems leading to increased safety and effectiveness within industry, care, healthcare and sports medicine.



  ISS Annual Reports (in PDF format):

Intelligent Sensor Systems are systems with the ability to sense their environment, as physiological parameters of human beings or the state of an industrial machine. Sensor systems with computational power are using this to interpret sensor signals and communicate with their surroundings. An example of an intelligent sensor is a sensor with the ability to learn and improve its performance to interpret signals, The "intelligent sensor" may make decisions either autonomously or in collaboration with other sensors or humans.

Intelligent sensor systems are embedded in a multitude of applications and products, in areas such as multimedia, telecommunications, robotics, process control, flexible manufacturing, avionics, vehicular systems, air-traffic control, nuclear power plants, medical equipment and defense applications. For instance, an autonomous vehicle will have an embedded computer-based control system that has to respond in time to avoid collisions.

Developing intelligent sensor systems demands knowledge of and contact with a number of research disciplines, including automatic control, computer science, computer and software engineering, electrical engineering and artificial intelligence. The ISS research is covering various aspects of all these areas, and - what is more important - attempts to bridge gaps between disciplines to provide novel and effective solutions to real problems.

One of the cornerstones of ISS is its good contact with industry and industrial co-operation. Almost all our projects and activities include industrial partners. To further develop our interactions with industry we are establishing more long-term bilateral co-operations with some of our main industrial partners.

Some concrete result examples of research are:
  • A light-weight, wireless ECG-surveillance system for continuous registration.
  • Development of algorithms for automatic hand over and roaming of Bluetooth and other RF devices.
  • A novel way to measure CO2 in expired air through a resonant sensor.
  • Development of a new principle to estimate the lactate level through correlation to the CO2-level.
  • Self improving sensors signal classification algorithms.
  • Decision support systems able to determine their confidence of their classification, and requesting help if necessary.
  • Methods and techniques for systems gaining experience and sharing experience both between sensors, systems and humans.
  • Simulations with asymmetric communication in sensor networks using existing infrastructure as base stations.
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  • Latest update: 2012.06.08