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This article outlines the main diseases caused by repetitive strain or poor posture with emphasis on the public that works in the area of information technology (IT), which for the reason that the workday is composed of 8 hours a day in a continuously seated position, has become the focus of the same. In order to improve the well-being of these professionals, a low-cost solution model will be presented to assist in the estimation of posture while performing activities during working hours, since injuries, in the work environment of the type of professional in question, are commonly due to the lack of an ergonomic approach. In order to achieve the proposed objectives, an application was developed that makes use of AI to capture posture and judge whether it is correct or incorrect in relation to the test parameters. To substantiate the ideas explained in this article, a research was carried out using the prototype to verify the classification of the posture of the group of selected people, it was noted that of the group of 15 people, 8 of them presented the correct posture representing 53% of the candidates interviewed and 7 people were with bad posture which makes up 47% of the total candidates. It is noted that a large number of people have poor posture, which can cause unwanted illnesses or injuries in the future.
[Thiago Antonio da Costa Souto, Lucas de Souza Peixoto, Luiz Guilherme Menezes da Costa and Pablo Augusto da Paz Elleres (2023); ARTIFICIAL INTELLIGENCE IN THE COMBINATION OF TECHNOLOGY WITH ERGONOMICS FOR ESTIMATION OF CORRECT POSTURE BASED ON PYTHON Int. J. of Adv. Res. 11 (Oct). 183-190] (ISSN 2320-5407). www.journalijar.com
Article DOI: 10.21474/IJAR01/17694
DOI URL: http://dx.doi.org/10.21474/IJAR01/17694
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