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The analysis of scientific and methodological literature showed that the practice of adaptive physical education in specialized schools requires computer technology to control children’s motorics, as physical education can succeed only in the case of individualization, strict adequacy of personal and functional characteristics of a child with disabilities. The purpose of the study is to develop software for computer monitoring of motorics of primary school children with hearing impairments. Material and methods: generalization of data of scientific and methodical literature and experience of best practice, biomechanical video computer analysis, pedagogical testing, pedagogical experiment, methods of mathematical statistics. Testing of biomechanical characteristics of 59 schoolchildren of 7–10 years of Kyiv special boarding school № 9 for children with hearing impairment and 111 healthy children of 7–10 years of Kyiv secondary school № 229 was carried out. “BioVideo” software was developed to determine the biomechanical characteristics of human motor function based on the registration (video recording) of motor action by a digital camera. The “BioVideo” software is designed to obtain kinematic and dynamic characteristics, as well as to build biokinematical schemes of motor actions of junior schoolchildren with hearing deprivation according to the videogram. Biomechanical phase analysis of biokinematical characteristics of the even-rhythmic test exercise in the frontal plane, performed with the help of “BioVideo” software, allowed to quantify such relatively independent types of coordination abilities as sense of rhythm and orientation in junior schoolchildren with hearing deprivation. The use of software for computer monitoring of motorics of primary school children with hearing deprivation is substantiated, which allows to carry out objective control of their physical development and physical fitness, based on the results to intensify the process of physical education, differentiate and individualize physical education programs, automate analysis and evaluation received data.
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Lisenchuk et al. (2020) studied this question.
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