Asier Zubizarreta Picó :: Projects

Application of Artificial Intelligence for the Development of a Personalized Intelligent Crutch (NEUROTIP)

This project presents an intelligent crutch that enables continuous and personalized diagnosis of patients with functional mobility impairment. The proposed solution is based on Neural Sensors and Personalized Diagnostic Virtual Sensors, all of them designed using different Artificial Intelligence techniques, such as Spiking Neural Networks and Anomaly Detection techniques. As a result, a personalized diagnosis will make it easier for therapists to establish better and more precise personalized therapies, with the...

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Evolución tecnológica para la automatización multivehicular y evaluación de funciones de conducción altamente automatizadas (AutoEv@l)

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...

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Towards Spiking Neural Networks for ultra-low-power consumption applications (PIBA_2020_1_0008)

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.

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