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https://hdl.handle.net/2183/48332 Sistema IoT para la monitorización de la actividad ciclista
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Castrillón Allegue, Sergio
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Universidade da Coruña. Facultade de Informática
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[Resumen]: El ciclismo es una actividad muy popular que, sin embargo, carece de soluciones tecnológicas asequibles para su monitorización. Ante esta situación, se propone una solución IoT (Internet of Things) económica que permite obtener las métricas esenciales, como velocidad, ritmo cardíaco o desnivel positivo, para evaluar el rendimiento. La solución se compone de un sistema de recogida de métricas y una aplicación móvil que, mediante comunicación BLE (Bluetooth Low Energy) con el sistema anterior, permite la visualización de métricas en tiempo real y el acceso a datos de actividades pasadas. Asimismo, se explora la posibilidad de integrar sensores externos usando un monitor de frecuencia cardíaca comercial, con el objetivo de facilitar la ampliación de métricas y la escalabilidad del sistema en el futuro.
[Abstract]: Cycling is a highly popular activity, however, it still lacks affordable technological solutions for performance monitoring. To address this gap, an economical IoT-based solution is proposed to capture key metrics, like speed, heart rate or gained altitude, required for performance evaluation. The solution consists of a data acquisition module and a mobile application that communicates with it via BLE. This application provides real-time metric visualization and access to historical activity data. In addition, the integration of external sensors, such as a commercial heart rate monitor, is explored to enable the expansion of measurable parameters and ensure the scalability and adaptability of the system for future developments.
[Abstract]: Cycling is a highly popular activity, however, it still lacks affordable technological solutions for performance monitoring. To address this gap, an economical IoT-based solution is proposed to capture key metrics, like speed, heart rate or gained altitude, required for performance evaluation. The solution consists of a data acquisition module and a mobile application that communicates with it via BLE. This application provides real-time metric visualization and access to historical activity data. In addition, the integration of external sensors, such as a commercial heart rate monitor, is explored to enable the expansion of measurable parameters and ensure the scalability and adaptability of the system for future developments.
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