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Wearable Device to Aid Impaired Vision People Against Covid-19
23rd International Conference on Human-Computer Interaction, HCII 2021 ; 1499 CCIS:11-16, 2021.
Article in English | Scopus | ID: covidwho-1549346
ABSTRACT
The year of 2020 was greatly affected by COVID-19 pandemic, it was necessary to change the work routine, study and social life and adapt to the new world scenario that was suddenly established. The technology, and especially the software, contributed a lot for these changes to be managed and carried out efficiently, mainly in the scope of communication and information. To prevent the pandemic from advancing, protective measures were taken by the state and federal governments, including recommendations for social distancing, wearing masks in a public environment and avoiding people in a feverish state, so the world policed itself and tried to comply with the new guidelines. However, a visually impaired person would not be able to comply with these determinations, how could he know if the person in front of him is wearing a mask or not, or even far enough, not respecting the recommended minimum distance of 1.5 m, or even checking the temperature of someone entering the same environment as him. Motivated by this problem, this research was initiated, with the goal of the development of a case to be coupled to an eyeglass, with processors and sensors, that will detect if the person in front is wearing a face mask, is 1.5 m far and in a possible feverish state, being processed by an Artificial Intelligence software with 95% accuracy. The functional status of the project was successfully executed, the results were satisfactory, with improvements in terms of embedded technology and tests on the impaired resulted in hope and excitement for them. © 2021, Springer Nature Switzerland AG.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 23rd International Conference on Human-Computer Interaction, HCII 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 23rd International Conference on Human-Computer Interaction, HCII 2021 Year: 2021 Document Type: Article