Diagnostic and Imaging
of
Industrial Processes


Laboratory DIPI
Research
European Research Area
Industrial Partership
International Cooperation

Sensory engineering

Sensor engineering takes into account knowledge in cognitive neurosciences and in engineering systems to conceive new systems centered on the user. The goal is to optimize the couple user - interface in way to enhance the system effectiveness. This thematic relates systems about sensory raising, sensory substitution or sensory cooperation.

Main topics

Since September 2006, this new research topic in the DIPI laboratory bring together developed projects related to the implementation of new adaptive systems in the field of visual rehabilitation as well as methodologies of sensory and cognitive analyses.
  1. Conception of an adaptive low visual device for ARMD patients to answer a problem of public health: The Age Related Macular Degeneration (ARMD) is the first cause of partially sighted for people of more than 50 years.

    • ViSAR prototype : Coupling of knowledge in biomedical engineering and cognitive neurosciences
    • Image processing constraints by patient oculomotor behaviors: design and development of new adaptive rendering algorithms.
    • Analyzes of reading strategies and cognitive processes of the partially-sighted persons
    • Clinical management of patients and human experiences

  2. Design of an Electronic Travel Aid (ETA) to reinforce the safety, blind space representation and its navigation

    • To merge and to exploit multiple and disparate sensors
    • To design electronic charts and microprocessor
    • To communicate to the subject additional information relating to his own environment

  3. Sensory properties of materials

    • This theme under development aims to evaluate the tactile, visual and visuo-tactile properties of materials

Equipements

Eye tracking, Arrington Research

Members

Anne-Catherine Scherlen, Jean Claude Dumas, Eric Favier

Major publications

1. Scherlen A.C., Gautier V. Cognitive Performance Coefficient (CPC) : Selection parameter for visual devices. Advancement of Modelling and Simulation Techniques in Enterprises AMSE-journals (Barcelona, Spain), Modelling C, Vol. 67 , pp 33-42 (Supp : Handicap 2006)

2. Scherlen A.C., Gautier V. Eye movements : sensory input to command and control adaptive visual aids, 3rd International IEEE EMBS Conference on Neural Engineering, May 2-5, 2007, Kohala Coast, Hawaii, USA

3. Scherlen, A.-C. et Gautier, V. A new visual aid concept : "ViSAR" : Visual signal adaptive restitution. Dans IEEE International Conference Engineering in Medicine and Biology Society (EMBS), 2, pages 1976-9. IEEE, 2005.

4. Scherlen, A.-C. et Gautier, V. Visual deficiency : Cognitive performance and adaptive image processing. Dans IEEE International Conference on Neural Networks, pages 1824–1829. IEEE, 2005

5.Scherlen, A.-C. La malvoyance chez l'adulte : la comprendre, la vivre mieux. Coordonné par Caroline Kovarski. Ed Vuibert. 2007, ISBN 978-2-7117-9196-5.