Secure Communication Architectures for Real-Time Psychophysiological Data Collection in Competitive Sports

Abstract

Psychophysiological data is being widely used in competitive sports for performance analysis, prevention of injuries, and enhancement of well-being. This includes data related to heart rate, Electroencephalogram (EEG), muscle activity, and movement patterns that would reveal a vivid interpretation of an athlete's state during training and competition. Wearable sensors and real-time data collection technologies used in athletes can make more informed decisions in the optimization and recovery of performances. However, such data collection and transmission pose some unique challenges concerning security and privacy issues because it is collected and transmitted in real time. This work delves into the current landscape of secure communication architectures designed for the real-time psychophysiological data collection in competitive sports. This study discusses security protocols and technologies such as encryption, secure data transfer methods, and authentication techniques as ways to handle the trials created by the nature of real-time data transfer in competitive sports settings, where the environment demands high performance. This study gives an overall understanding of the requirements and solutions for securing psychophysiological data in the context of competitive sports. Future research should cover the development of secure frameworks for communicating information and further broadcast the widespread usage of safe, real-time data collection systems in sports science.