Monwatch: A fuzzy application to monitor the user behavior using wearable trackers Martínez Cruz, Carmen Medina Quero, Javier Gramajo, Sergio Serrano, José María Fuzzy logic Health Key Indicators Activity recognition Funding for this research is provided by EU Horizon 2020 Pharaon Project Pilots for Healthy and Active Ageing, Grant agreement no. 85718 and the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund - ERDF (Fondo Europeo de Desarrollo Regional - FEDER) under project PGC2018-096156-B-I00 Recuperación y Descripción de Imágenes mediante Lenguaje Natural usando Técnicas de Aprendizaje Profundo y Computación Flexible. Moreover, this contribution has been supported by the Andalusian Health Service by means of the research project PI-0387-2018 and the Action 1 (2019-2020) no. EI TIC01 of the University of Jaen. Nowadays, the proliferation of wearable devices has enabled monitoring user behaviours and activities in a non-invasive, autonomous and straightforward way. Moreover, new trend analysis has been boosted by biosignal sensors from wearable trackers, such as inertial or heart rate sensors. The knowledge of such user activity presents a personalized monitoring to prevent any kind of physical or neurological disorders through the sensor evaluation by an expert. To this end, the definition of key indicators and the display of results and relevant analyses require of agile and effective tools. Therefore, this proposal presents a novel web application where the data obtained from a Fitbit Ionic smartwatch wearable are collected, synchronized and compiled to present a summary of an user’s daily activity, which is defined by a linguistic description using fuzzy logic to represent the most relevant Health Key Indicators (HKI). Moreover, an analysis of the user’s behaviour over time is proposed by inferring relevant patterns from a fuzzy clustering algorithm. 2026-01-21T11:36:27Z 2026-01-21T11:36:27Z 2020 conference output C. Martínez-Cruz, J. M. Quero, J. M. Serrano and S. Gramajo, "Monwatch: A fuzzy application to monitor the user behavior using wearable trackers," 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Glasgow, UK, 2020, pp. 1-8, doi: 10.1109/FUZZ48607.2020.9177748 https://hdl.handle.net/10481/110039 10.1109/FUZZ48607.2020.9177748 eng http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Attribution-NonCommercial-NoDerivatives 4.0 Internacional IEEE