Health and Eldercare
Monitoring and evaluation of the health hazards present at a workplace is useful to both employees and employers. Similar aids, oriented to elderly people can empower them to live independently.
Sport and rehabilitation
Sport training and rehabilitation can benefit from ambulatory sensor systems technologies designed to capture human motion-related and physiological variables in real-time.
Man-machine collaboration
Ambulatory activity recognition would facilitate a natural and effortless integration of people in new cooperative scenarios, such as human-robot interaction or ambient intelligence.
Design of body-worn sensors systems for motion measurement
SIMUR develops multisensor integration systems and wearable sensor networks, built on inertial micro-sensors (IMUs), designed to record human motion during task execution. The aim is to achieve reliable and fault-tolerant perception, a fundamental component for human motion analysis applications.
Contact: Juan Carlos Alvarez Alvarez
Mail: juan at uniovi.es, Phone: +34 985 182529
Line funding:
"Optimización del análisis de la carrera de velocidad con IMUs". Sponsor: Real Federación Española de Atletismo, 2025.
"Efectos del estilo de vida en el retraso del envejecimiento", Consorcio EDASTUR, Funding: Principado de Asturias, 2022-23.
"Modelos de medición directa de posturas y movimientos de los miembros inferiores", Sponsor: Fremap (Spanish Social Security Mutual Ins.), 2015.
Related Publications (since 2020):
Inertial Sensor-Based Motion Calibration for 1-DoF Joint Angle Estimation. Gonzalo García Carro; Juan C. Álvarez, Diego Valdés Tirado, Alejandro Castellanos, Antonio M. López, Diego Álvarez. IEEE EMBC 2025, Copenhagen, Denmark 14th – 17th July 2025.
Design of an IMU Based Wearable Measurement System for Rapid Events. Diego Valdés Tirado, Gonzalo García Carro; Juan C. Álvarez, Alejandro Castellanos, Diego Álvarez and Antonio M. López. IEEE I2MTC 2025, Chemnitz, Alemania, Mayo 2025.
Evaluation of Magnetometer-Less Inertial Sensors for Static Spatial Orientation Estimation. Alejandro Castellanos; Gonzalo García Carro; Juan C. Álvarez, Diego Álvarez and Antonio M. López. IEEE I2MTC 2025, Chemnitz, Alemania, Mayo 2025.
Design and Characterization of a Wearable Inertial Measurement Unit. Tirado, D.V.; Carro, G.G.; Alvarez, J.C.; López, A.M.; Álvarez, D. Sensors 2024, 24, 5388. https://doi.org/10.3390/s24165388
Estimation of Ground Contact Time with Inertial Sensors from the Upper Arm and the Upper Back, González, L.; López, A.M.; Álvarez, D.; Álvarez, J.C. Sensors 2023, 23, 2523. https://doi.org/10.3390/s23052523
Detection, recognition and prediction of human activity
SIMUR is at the forefront of developing advanced AI-based models, including Convolutional Neural Networks (CNNs), Random Forests, and Extreme Gradient Boosting (XGBoost), for accurately identifying human activity from wearable sensors, and to predict future states or actions.
Contact: Antonio M. López Rodríguez
Mail: amlopez at uniovi.es
Line funding:
"Implementación de la tecnología wearable en atención primaria para una medicina del ejercicio personalizada", Funding: Instituto de Salud Carlos III, Madrid, 2022-25
"Métodos de procesamiento para la valoración de la práctica deportiva mediante sensores inerciales". Sponsor: Human Analytics, 2022.
Related Publications (since 2020):
Human Activity Recognition from Thigh and Wrist Accelerometry. Castellanos Alonso, A., López, A., Garcia-Perez, D., Álvarez, D., & Alvarez, J. C. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2024).
Real-Time Short-Term Pedestrian Trajectory Prediction Based on Gait Biomechanics. González, L.; López, A.M.; Álvarez, J.C.; Álvarez, D. Sensors 2022, 22, 5828. https://doi.org/10.3390/s22155828
Evaluation of Filtering Methods for the Prediction of Human Position During Walking by Means of Kinematical Models, Leticia González, Antonio M. López, Diego Alvarez, JC. Alvarez, IEEE Int. Instrumentation & Measurement Tech. Conference, I2MTC 2021, May 17-20, 2021.
