Abstract
Soccer ball driving with both profiles and edges, based on the development of an application using virtual environments in Python. In the article, as an advance of a doctoral thesis, a case study is presented, concerning the analysis of heart rate data of an 11-year-old participant in several training sessions, while learning one of the techniques. Heart rate is one of the physiological parameters directly related to people’s emotional behavior in the different activities carried out, in this case, in learning physical movements in a specific sport. Over a month, with 20 training sessions for 15 min each, the participant was asked to perform the same technique in three specific scenarios each day. They downloaded the sensor data after each training session for data collection with the optical heart rate sensor using the Polar Verity Sense bracelet, with excellent fit and precision. For data analysis, developing a Python application with several packages/libraries, such as the pip tool, allowed the creation of two-dimensional scatters plots with a machine learning prediction model based on linear regression.
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Espín Pazmiño, L.A. (2022). Linear Regression Analysis of Heart Rate While Learning the Soccer Technique of Driving. A Case Study. In: Abad, K., Berrezueta, S. (eds) Doctoral Symposium on Information and Communication Technologies. DSICT 2022. Communications in Computer and Information Science, vol 1647. Springer, Cham. https://doi.org/10.1007/978-3-031-18347-8_6
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