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Estimation of Stokes Parameters Using Deep Neural Networks., , и . MCPR, том 13902 из Lecture Notes in Computer Science, стр. 159-168. Springer, (2023)Approach to a Lower Body Gait Generation Model Using a Deep Convolutional Generative Adversarial Network., , , , , , , и . UCAmI, том 594 из Lecture Notes in Networks and Systems, стр. 419-430. Springer, (2022)Analysis of Accelerometer Data for Personalised Abnormal Behaviour Detection in Activities of Daily Living., , , , , , , и . UCAmI, том 594 из Lecture Notes in Networks and Systems, стр. 302-313. Springer, (2022)Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning., , , и . Sensors, 20 (17): 4756 (2020)Uso de plataforma de videojuegos de conducción para analizar el desempeño visual de los conductores: estudio piloto., , , , , и . ENC, стр. 1-7. IEEE, (2022)A Modular Framework for Modelling and Verification of Activities in Ambient Intelligent Systems., , , и . HCI (19), том 14029 из Lecture Notes in Computer Science, стр. 503-530. Springer, (2023)Exergames as Tools Used on Interventions to Cope with the Effects of Ageing: A Systematic Review., , , , , , , , , и 1 other автор(ы). IWAAL, том 8868 из Lecture Notes in Computer Science, стр. 402-405. Springer, (2014)Emotion Recognition from Human Gait Using Machine Learning Algorithms., , , , и . UCAmI, том 594 из Lecture Notes in Networks and Systems, стр. 77-88. Springer, (2022)Human action recognition based on low- and high-level data from wearable inertial sensors., и . IJDSN, (2019)Complex human action recognition on daily living environments using wearable inertial sensors., и . PervasiveHealth, стр. 138-145. ACM, (2016)