Psychological behavior signal analysis for sports person during their activity session
| العنوان: | Psychological behavior signal analysis for sports person during their activity session |
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| المؤلفون: | Guochun Liu, Karthik Chandran, Beenu Mago, Lin Jiang, Jian Zheng |
| المصدر: | Journal of Intelligent & Fuzzy Systems. :1-10 |
| بيانات النشر: | IOS Press, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Statistics and Probability, 03 medical and health sciences, Signal processing, 0302 clinical medicine, Artificial Intelligence, Applied psychology, 0202 electrical engineering, electronic engineering, information engineering, General Engineering, 020201 artificial intelligence & image processing, 030229 sport sciences, 02 engineering and technology, Psychology, Activity Session |
| الوصف: | The signal analysis helps us derive useful knowledge from biological processes to analyze, describe, and understand their origin mechanisms. However, biomedical signals are not immune and have time-consuming statistics. The major challenges of signal analysis of sportsperson are reliability and accuracy. Sports psychology uses psychological skills to discuss the optimum success and well-being of sports athletes, the developmental and social dimensions of the sport and sports facilities, and structural problems. The signal detection tool is used to detect the best combination of long-term practice predictors for active, sedentary adults’ signal. This paper proposed the wearable assisted signal detection method (WASDM) to find the sportspersons’ behavior signal analysis. This method performs an IoT based heart rate monitoring using a wearable device named intelligent bracelet mounted on the sportsperson to track the variations in his/her human heart rate. The wearable signal detector method analysis the heart rate abnormality and predicts health status, followed by an alarm to the physician and the respective personnel while performing activity session. In this research, various machine learning algorithms have been tried to perform signal analysis and prediction and compared their results to suggest the best in this application scenario. Finally, the experimental analysis shows better outcomes for the sportspersons’ psychological behavior signal analysis than the conventional methods. |
| تدمد: | 1875-8967 1064-1246 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::7e03125c75bda89ac934652b1492afca https://doi.org/10.3233/jifs-219041 |
| رقم الأكسشن: | edsair.doi...........7e03125c75bda89ac934652b1492afca |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18758967 10641246 |
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