Año
Autores / Publicación
Hernández Santana, G., & López Nava, I. H. (2024). Sistemas de predicción de lenguas visogestuales basados en IA y su aplicación en la Lengua de Señas Mexicana (LSM). In José Antonio García Macías, Isaac de Jesús Palazuelos Rojo, Diego Alfredo Pérez Rivas (Eds.), Inteligencia artificial transformación, retos y prospectiva social (pp. 211-240). Astro Ltd. (ID: 30060)
Raygoza Romero, J. M., López Nava, I. H., & Ramírez Vélez, J. C. (2024). Feed-forward neural networks to estimate Stokes profiles. Revista Mexicana de Astronomía y Astrofísica, 60, 343-354. doi: 10.22201/ia.01851101p.2024.60.02.11. (ID: 30058)
Carneros Prado, D., Dobrescu, C., Cabañero, L., Villa, L., Altamirano Flores, Y. V., López Nava, I. H., González, I., Fontecha, J., & Hervás, R. (2024). Synthetic 3D full-body skeletal motion from 2D paths using RNN with LSTM cells and linear networks. COMPUTERS IN BIOLOGY AND MEDICINE, 180, 108943. doi: 10.1016/j.compbiomed.2024.108943. (ID: 30051)
López Nava, I. H., Rodríguez, M., García Vázquez, J. P., Pérez San Pablo, A. I., Quiñones Urióstegui, I., Meneses Peñaloza, A., Castillo Topete, V., Cuaya Simbro, G., Armenta, J., Martínez Rebollar, A., Sanchez, W., Caro Corrales, K., Martínez García, A. I., & Favela Vara, J. (2022). Current state and trends of the research in exergames for the elderly and their impact on health outcomes: a scoping review. Journal of Ambient Intelligence and Humanized Computing, 2022, 1-33. doi: 10.1007/s12652-022-04364-0. (ID: 27997)
Cruz Sandoval, D., Favela Vara, J., López Nava, I. H., & Morales Tellez, A. (2021). Adoption of Wearable Devices by Persons with Dementia: Lessons from a Non-pharmacological Intervention Enabled by a Social Robot. In Goncalo Marques, Akash Kumar Bhoi, Victor Hugo C. de Albuquerque, Hareesha K.S. (Eds.), IoT in Healthcare and Ambient Assisted Living (pp. 145-163). Springer. (ID: 26593)
López Nava, I. H., Valentín Coronado, L. M., Favela Vara, J., & Garcia Constantino, M. (2020). Gait Activity Classification on Unbalanced Data from Inertial Sensors Using Shallow and Deep Learning. Sensors, 20(17), 21. doi: 10.3390/s20174756. (ID: 26140)
Favela Vara, J., Cruz Sandoval, D., Morales Tellez, A., & López Nava, I. H. (2020). Monitoring behavioral symptoms of dementia using activity trackers. JOURNAL OF BIOMEDICAL INFORMATICS, 109, 103520. doi: 10.1016/j.jbi.2020.103520. (ID: 26139)
Hernández Cruz, N., Garcia Constantino, M., Beltrán Márquez, J., Hecker, P., Favela Vara, J., Rafferty, J., Cleland, I., López Nava, I. H., Arnrich, B., & McChesney, I. (2020). Prototypical System to Detect Anxiety Manifestations by Acoustic Patterns in Patients with Dementia. EAI Endorsed Transactions on Pervasive Health and Technology, 5(19), 11. doi: 10.4108/eai.10-2-2020.163097. (ID: 26141)
López Nava, I. H., & Muñoz Meléndez, A. (2019). Human action recognition based on low- and high-level data from wearable inertial sensors. International Journal of Distributed Sensor Networks. doi: 10.1177/1550147719894532. (ID: 25334)
Cruz Sandoval, D., Beltrán Márquez, J., Garcia Constantino, M., González Jasso, L. A., Favela Vara, J., López Nava, I. H., Cleland, I., Ennis, A., Hernández Cruz, N., Rafferty, J., Synnott, J., & Nugent, C. (2019). Semi-Automated Data Labeling for Activity Recognition in Pervasive Healthcare. Sensors. doi: 10.3390/s19143035. (ID: 25002)
López Nava, I. H. (2016). Variability Analysis of Therapeutic Movements using Wearable Inertial Sensors. JOURNAL OF MEDICAL SYSTEMS, 41(7). (ID: 24857)
López Nava, I. H. (2016). Wearable Inertial Sensors for Human Motion Analysis: A Review. IEEE Sensors Journal, 16(22). (ID: 24856)
González, I., López Nava, I. H., Fontecha, J., Muñoz Meléndez, A., Pérez San Pablo, A. I., & Quiñones Urióstegui, I. (2016). Comparison between passive vision-based system and a wearable inertial-based system for estimating temporal gait parameters related to the GAITRite electronic walkway. JOURNAL OF BIOMEDICAL INFORMATICS, 62, 210-223. (ID: 24855)
López Nava, I. H. (2015). Estimation of temporal gait parameters using Bayesian models on acceleration signals. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING, 19(4). (ID: 24854)