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V. Di Mattia

Researcher at Marche Polytechnic University

Publications -  14
Citations -  89

V. Di Mattia is an academic researcher from Marche Polytechnic University. The author has contributed to research in topics: Time domain & Signal processing. The author has an hindex of 4, co-authored 14 publications receiving 82 citations.

Papers
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Journal ArticleDOI

Experimental Investigation of Electromagnetic Obstacle Detection for Visually Impaired Users: A Comparison With Ultrasonic Sensing

TL;DR: The possibility of adopting EM held pulses for obstacle detection is demonstrated, highlighting advantages with respect to ultrasonic systems and addressing future research activity to design an improved ad hoc EM system.
Proceedings ArticleDOI

Electromagnetic travel aids for visually impaired users

TL;DR: The preliminary results obtained with a portable prototype of an electromagnetic travel aid show the feasibility of the electromagnetic “cane”, the possibility to detect the presence of obstacles not detected with ordinary cane and address further improvements.
Book ChapterDOI

Domestic Monitoring of Respiration and Movement by an Electromagnetic Sensor

TL;DR: The first results clearly show the capability of the method to detect the subject, his breathing rate, position and physical activity, and further signal processing is required in order to distinguish between different types of movements and to classify them.
Proceedings ArticleDOI

Multiparameter electromagnetic sensor for AAL indoor measurement of the respiration rate and position of a subject

TL;DR: Results clearly show the ability of the proposed sensing system to detect the presence of the subject, to measure the respiration rate and to determine his/her position within the observed environment.
Proceedings ArticleDOI

An electromagnetic device for autonomous mobility of visually impaired people

TL;DR: The proposed EM system accomplishes most of the operative requirements of electronic travel aids for visually impaired subjects and can even provide additional information on obstacles, as for example height from the ground, distance and position.