*Result*: Development and Optimization of a Physiological Data-Driven Mobile Interactive Feedback System for University Physical Education.
*Further Information*
*Traditional university physical education instruction has remained largely dependent on instructors' experiential observation and subjective evaluation, resulting in delays and imprecision in physiological load monitoring, movement technique analysis, and personalized guidance. With the advancement of the Internet of Things (IoT) and mobile communication technologies, the development of data-driven intelligent instructional support systems has emerged as a critical pathway for educational reform in physical education. However, existing studies have primarily focused on single-parameter physiological monitoring, lacking integrated multimodal data fusion analysis. In addition, the reliability of network transmission under dynamic classroom conditions with high concurrency has often been neglected, leading to substantial feedback delays and limited practical applicability. To address these limitations, a study was conducted on the construction and instructional optimization of a mobile interactive feedback system driven by physiological data, specifically designed for university-level physical education. The principal contributions of this work are threefold. First, a full-chain optimization framework was proposed, encompassing the entire process from data acquisition to pedagogical application, thereby achieving deep integration between information technologies and physical education practices. Second, a perception network deployment and data fusion model adaptable to dynamic instructional scenarios was designed, resolving challenges associated with the collaborative processing of multi-node and multimodal data. Third, a network optimization mechanism integrating channel equalization and latency control was introduced, significantly enhancing the real-time performance and reliability of mobile interactive feedback. These innovations provide the core technical foundation for a practical and intelligent physical education classroom system. [ABSTRACT FROM AUTHOR]*