Experiment of biological pulse sensor and its application in physical education

Wearable device performance and sensors are becoming more accessible to the public and sports teams. Technological advances enable individual?s endurance athletes, sports teams, and physicians to monitor the lifting function, workload, and biomarkers to maximize performance and reduce injuries. This system has proposed a bio-pulse sensor based on the Best-Fit-Pattern Prediction Algorithm (BFPPA) to best fit is used to monitor the movement of the player. The proposed system has proposed a configuration of the sensor fusion positioning in intelligent pulse sensors and biomedical applications, sports. In this work, the integration of the activities of players selected based on the pulse and other eavesdropping activities in these areas is to modify the collection, quantification, and classification of recommendations related to some physical variables? ability. These techniques search the fitted values in the feed-forward process, education with a field of physical diagnosis, rehabilitation, biological fitness monitoring, and the development of the player?s performance to recommend them. It is to generate a proposal from the Experts familiar with the sport, discuss the best application in the leadership team sports of various types of available wearable sensors, and discuss their current utilization; Sports It will be the future presence applications for education.

Automated summary

Advancements in technology have made wearable devices and sensors more accessible for the public and sports teams, allowing for monitoring and improving performance while reducing injuries. A new system utilizing a bio-pulse sensor based on a prediction algorithm has been proposed to monitor the activities of athletes.