Personal and Ubiquitous Computing | 2021

Data measurement and aerobics online teaching based on SAR target detection network

 

Abstract


Target detection technology is a complex multidisciplinary technology, including signal processing, image analysis, and depth calculation and other data processing methods, mainly used in the military field. Because synthetic aperture radar (SAR) images have the characteristics of multiple types and high variability, the development of SAR image detection technology in practical applications is relatively slow. Therefore, in this field, target detection in SAR images is a very challenging technical research. Based on the research on the domestic and foreign background of this detection technology, this paper systematically explained the calculation method of the target detection technology, and made practical and applied research on the online teaching of aerobics through various methods such as literature review and questionnaire survey. Aerobic fitness is a comprehensive exercise, aesthetics, and art course. It not only exercises the body and shows personal charm, but also cultivates students’ teamwork ability. Now more and more schools offer aerobics courses as elective courses for physical education, allowing students to strengthen exercise and improve their physical fitness while studying. But on the whole, the curriculum lacks diversification and the content lacks interest, which greatly affects students’ enthusiasm for learning. This article uses the literature method to consult a large number of materials, analyzes the basic principles of the online classroom teaching model, researches and analyzes the online classroom teaching model adopted by many scholars, and uses the expert interview method, according to the advice of experts and professors, combined with online teaching. The characteristics of online aerobics teaching methods and questionnaires suitable for this research are designed.

Volume None
Pages None
DOI 10.1007/s00779-021-01641-1
Language English
Journal Personal and Ubiquitous Computing

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