This paper introduces an interactive music tempo control with closed-loop heart rate feedback to yield a sportsperson with better physio-psychological states. A total of 23 participants (13 men, 10 women; 16–32 years, mean = 20.04 years) who are professionals or school team members further guide a sportsperson to amend their physical tempo to harmonize their psychological and physical states. The self-tuning mechanism between the surroundings and the human can be amplified using interactive music tempo control. The experiments showed that listening to interactive music had a significant effect on the heart rate and rating of perceived exertion (RPE) of the basketball player compared to those listening to asynchronous music or no music during exercise (p < 0.01). Synchronized interactive music allows athletes to increase their heart rate and decrease RPE during exercise and does not require a multitude of preplanned playlists. All self-selected songs can be converted into sports-oriented music using algorithms. The algorithms of synchronous and asynchronous modes in this study can be adjusted and applied to other sports fields or recovery after exercise. In the future, other musical parameters should be adjusted in real-time based on physiological signals, such as tonality, beats, chords, and orchestration.

Advances in conventional industrial controllers have led to new technologies such as multilanguage use, cross-platform applications, and remote monitoring and control. However, the human-machine interfaces (HMIs) of conventional industrial controllers and mobile devices cannot directly transmit instant messages to each other. This study describes a simple method of upgrading the HMIs of conventional industrial controllers into controllers capable of Web-based remote access. The study began with the development of a model-view-controller architecture consisting of Hypertext Markup Language, Cascading Style Sheets, and JavaScript and proceeded to the implementation of a single-page application (SPA) method through AJAX and WebSocket, which communicates with the back-end Node.js server to transfer data. Future advancements will enable information to flow through cross-platform devices across various operating systems and Web browsers, allowing users to remotely monitor and control machines from mobile smart devices. We demonstrated the simplicity of the SPA method by transforming a conventional personal computer-based industrial controller, WINPC32, to an all-purpose Web-based HMI for industrial use with the graphic user interface software, GPX.

This research proposes a music-adaptive IoT exercise system integrating edge computing and blockchain technology to enhance middle-distance running exercise. The system personalizes music tempo based on real-time biosignals to provide a tailored experience. Experiments demonstrate that adaptive music significantly augments users’ physiological, psychological, and behavioral responses compared to no music, improving engagement and effectiveness. The system overcomes limitations in existing solutions regarding personalization, real-time adaptation, and data privacy. Edge computing enables on-device processing, and blockchain encryption guarantees security. Results highlight the benefits of HR adaptive running music for arousal, pleasure, and performance. This study offers insights into designing personalized, rewarding exercise systems using emerging technologies. It has promising implications for exercise, rehabilitation, and recreational fitness. Further work should investigate specific mechanisms and long-term impacts, integrate additional signals and music parameters, and enhance security. In conclusion, this innovative system combines IoT, adaptive music, edge computing, and blockchain to unlock new possibilities in exercise experiences.