This coordinated project has as the main goal to define an appropriate testing environment and methodologies, which includes intelligent management of data, and a set of tools, techniques and controls, to aid in the development of highly automated functions in  vehicles. The project consortium is composed by UPV/EHU (VISENS Group and GDED Group), Tecnalia, MU, AIC, DEIT, Ikerlan, CAM, VICOMTECH. In the consortium, VISENS participates in work package 3: Research and develoment of highly automated sensors and...

A HardWare Implementation of the PWM inspired encoding/decoding algorithm (IHA-PWM). A new supervised training approach of SNN for regression based on both backpropagation and PWM inspired encoding/decoding algorithm. Define the specification for a neuromorphic HardWare implementation of both IHA-PWM and the new supervised training algorithm.

This project focuses on the development of an intelligent tip for the monitoring and diagnosis of Multiple Sclerosis (MS) patients. The data adquired by this device is intended to be used for diagnosis purposes, offering objective data that can be used to optimize and adapt the rehabilitation therapy to the particular state of each patient, which will lead to the improvement of his/her life quality. MS is one of the neurological diseases with more impact in society (40000 patients in Spain), due to: 1) the average...