Solution for Capturing Data from Wearable Devices
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Eva Pardo Otero [1] ; Iago Fernández Garrido ; Santiago Fernández Noriega Balseiro ; María Martínez Pérez ; Laura Nieto Riveiro [1]
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[1] Universidade da Coruña
Universidade da Coruña
A Coruña, España
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- Localización: VI Congreso XoveTIC: impulsando el talento científico / coord. por Javier Pereira-Loureiro
, Manuel Francisco González Penedo ; Manuel Lagos Rodríguez (ed. lit.), Álvaro Leitao Rodríguez (ed. lit.), Tirso Varela Rodeiro (ed. lit.), 2023 - Idioma: inglés
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Resumen
Thanks to the rise of wearable devices, people have more direct access to a variety of health data, such as physical activity, sleep and heart rate. For the research field, these devices represent a powerful tool for monitoring and evaluating different parameters. However, the procedure of capturing data for storage in an independent and self-managed database is not standardised. In this project we analysed two methods of data capture for the Xiaomi Mi Bands. One uses the official application together with Google Fit and the other uses the open source application GadgetBridge. The advantages and disadvantages of each system were studied, concluding that both could be very beneficial as data capture solutions for wearable devices in research, although with different target projects due to their particularities. Future work will explore these systems in more depth, addressing limitations, automation and optimising for specific research needs
