DIEES - University of Catania


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Assistive Technology

Research Activity

Smart Sensor Networks for authonomous indoor exploration

Objective: to develop a support system providing information to impaired people for a safe and useful exploitation of indoor environment
Approach: to perceive the user-environment interaction by monitoring both the user and the environment status
Methodologies: using a smart multi-sensor network and advanced data mining
Features: System flexibility Spatial/time continuous support to the user Optimized degree and form of information

Cam Assisted mobility

Objective: to develop a hand-free system for managing upcoming events in restricted areas
Approach: to reconstruct upcoming events by perceiving human/environment collisions
Methodologies: vision system and advanced data mining
Features: low cost and free-hand operation

A multi-sensor data fusion approach for outdoor navigation

Contactless Haptic Cane

Objective: to develop an haptic aids for mobility
Approach: to sense the environment and to provide haptic perception to the user
Methodologies: US sensor to perceive the environment, smart signal processing and haptic actuators
Features: to avoid arbitrary codification and interaction with objects

Image Enhancement by noise modulation

Goal: enhancing the perception of the under-threshold images for partially sighted people.

Standard approach
- modification of the original image that leads to image distortion thus limiting its informative content
Proposed approach - exploiting a stimulation mechanism of the bioperceptor already present in nature: Stochastic Resonance.

The feedback from the preliminary clinical tests has validated the proposed approach


Color Sensor based on fuzzy logic


This device aids blind people to
identify objects by their color exploiting an RGB integrated sensor and fuzzy logic computing.


Main features:

  • Low cost & small dimensions
  • Temperature stability and rejection of IR radiations
  • High reliability





Tactile Perception


This device aids blind people to
identify objects by their color exploiting an RGB integrated sensor and fuzzy logic computing.


Main features:

  • Low cost & small dimensions
  • Temperature stability and rejection of IR radiations
  • High reliability





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