The multilayer technology integration of hardware and software will reduce the social inclusion gap and increase the support in case of an emergency for people with special needs at hearing and visual levels. This research shows a development based on Internet of Things to support people with visual disabilities (PwVD) for indoor and outdoor activities. The decision-making process is made at the operational, tactical, and strategic level, providing a safe place so people with visual and hearing special needs can make decisions, their families can make decisions, and the government authorities can make decisions in case of an emergency or even on a day-by-day basis. In the case of the authorities, the smart visualization of the data according to the information provided facilitates Comprehensive Disaster Risk Management (CDRM) and Disaster Risk Reduction (DRR). The main findings are based on the need to develop mobile applications, dashboard and web applications that are responsive to people with visual or hearing disabilities, and the need to develop an infrastructure of communication systems assisted by batteries and clean energy, and independent of the current telecommunications system, to allow greater reliability.
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http://dx.doi.org/10.3390/s22030848 | DOI Listing |
J Vis
January 2025
Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Aichi, Japan.
Humans can estimate the time and position of a moving object's arrival. However, numerous studies have demonstrated superior position estimation accuracy for descending objects compared with ascending objects. We tested whether the accuracy of position estimation for ascending and descending objects differs between the upper and lower visual fields.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
Vrije Universiteit Amsterdam, Department of Human Movement Sciences, Amsterdam Movement Sciences and Institute Brain and Behaviour Amsterdam (iBBA), Amsterdam, the Netherlands.
Purpose: Understanding the impact of vision impairment on dynamic tasks requiring visual processing is crucial for developing effective adaptive strategies that support individuals with vision impairment in optimizing their performance in natural tasks. This study aimed to establish the gaze patterns used by individuals with vision impairment when hitting a moving target.
Methods: Nineteen tennis players with vision impairment were recruited and their eye and head movements were tracked while they returned tennis serves.
Invest Ophthalmol Vis Sci
January 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Purpose: To investigate the 10-year changes in visual function and incidence of visual impairment (VI) in highly myopic eyes.
Methods: This longitudinal study enrolled highly myopic individuals who were followed up for 10 years. All participants underwent detailed ophthalmic examinations at baseline and follow-up visits.
Invest Ophthalmol Vis Sci
January 2025
Southern California College of Optometry at Marshall B Ketchum University, Fullerton, California, United States.
Purpose: When treating amblyopia, it is important to define when visual acuity (VA) is no longer improving (i.e., stable) because treatment decisions may be altered based on this determination.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
Institute for Applied Mathematics, University of Bonn, Bonn, Germany.
Purpose: To quantify outer retina structural changes and define novel biomarkers of inherited retinal degeneration associated with biallelic mutations in RPE65 (RPE65-IRD) in patients before and after subretinal gene augmentation therapy with voretigene neparvovec (Luxturna).
Methods: Application of advanced deep learning for automated retinal layer segmentation, specifically tailored for RPE65-IRD. Quantification of five novel biomarkers for the ellipsoid zone (EZ): thickness, granularity, reflectivity, and intensity.
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