Research on the biological mechanism and biosensing monitoring of sports promoting ideological and political education
Abstract
The biological mechanism and biosensing monitoring of sports are examined in this research that looks at how physical activity not only improves physical health but also raises political involvement and ideological consciousness. Research in this area has received less attention in the context of sports education. The investigation on how physical exercise influences brain function, mood regulation, and cognitive processes, which are crucial for shaping political and ideological awareness, is performed. Biosensing technologies are used to monitor physiological sports responses while performing activities, which include heart rate variability (HRV), skin conductivity, and brainwave patterns. The data obtained was-processed to remove noise from the signals, normalize the signals, and prepare them for analysis. Wavelet Transform (WT) is applied to identify relevant physiological markers that would correlate with emotional and cognitive states, which could influence ideological perspectives among students. A hybrid intelligent model of Enhanced Adam optimized Intelligent Decision Tree (EAO-IDT) is implemented to predict the sports activity and outcomes of political education. EAO is used to optimize the hyperparameters of IDT, while classification and prediction capability of influencing various physiological responses on ideology and political development was further improved. The results found that certain physiological responses were significantly associated with the changes in political attitudes and participation. This approach shows the potential of combining biosensing technologies and machine learning (ML) models to monitor and improve the educational effects of sports-related activities.
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