Adriano Baratè

Dr. Adriano Baratè


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 May 2023 in International Journal of Human-Computer Studies
Verified
Journal Article
Open access
DADragan Ahmetovic
Dragan Ahmetovic
Federico  AvanziniFederico Avanzini
Federico Avanzini
ABAdriano Baratè
Adriano Baratè
CBCristian Bernareggi
Cristian Bernareggi
MCMarco Ciardullo
Marco Ciardullo
GPGiorgio Presti
Giorgio Presti

15 October 2021 in ACM Transactions on Accessible Computing
Verified
Journal Article
Open access
GPGiorgio Presti
Giorgio Presti
DADragan Ahmetovic
Dragan Ahmetovic
MDMattia Ducci
Mattia Ducci
CBCristian Bernareggi
Cristian Bernareggi
Luca Andrea LudovicoLuca Andrea Ludovico
Luca Andrea Ludovico
SMSergio Mascetti
Sergio Mascetti
Obstacle avoidance is a major challenge during independent mobility for blind or visually impaired (BVI) people. Typically, BVI people can only perceive obstacles at a short distance (about 1 m, in case they are using the white cane), and some obstacles are hard to detect (e.g . , those elevated from the ground), or should not be hit by the white cane (e.g . , a standing person). A solution to these problems can be found in recent computer-vision techniques that can run on mobile and wearable devices to detect obstacles at a distance. However, in addition to detecting obstacles, it is also necessary to convey information about them in real time. This contribution presents WatchOut , a sonification technique for conveying real-time information about the main properties of an obstacle to a BVI person, who can then use this additional feedback to safely navigate in the environment. WatchOut was designed with a user-centered approach, involving four iterations of online listening tests with BVI participants in order to define, improve and evaluate the sonification technique, eventually obtaining an almost perfect recognition accuracy. WatchOut was also implemented and tested as a module of a mobile app that detects obstacles using state-of-the-art computer vision technology. Results show that the system is considered usable and can guide the users to avoid more than 85% of the obstacles.

1 January 2023
Verified
Book
Closed access
Marcella MandaniciMarcella Mandanici
Marcella Mandanici
SSSimone Spagnol
Simone Spagnol
Luca Andrea LudovicoLuca Andrea Ludovico
Luca Andrea Ludovico
ABAdriano Baratè
Adriano Baratè
Federico  AvanziniFederico Avanzini
Federico Avanzini

18 June 2018 in IOP Conference Series: Materials Science and Engineering
Verified
Conference Paper
Open access
PDF file
ABAdriano Baratè
Adriano Baratè
GHGoffredo Haus
Goffredo Haus
Luca Andrea LudovicoLuca Andrea Ludovico
Luca Andrea Ludovico

1 January 2006
Verified
Book Chapter
Closed access
PDF file
ABAdriano Baratè
Adriano Baratè
GHGoffredo Haus
Goffredo Haus
LLLuca A. Ludovico
Luca A. Ludovico