A Deep Learning Approach to Recognize Human Activity Using Inertial Sensors and Motion Capture Systems. - Milagros Jaén-Vargas; Karla Miriam Reyes Leiva; Francisco Fernandes; Sérgio Barroso Gonçalves; Miguel Tavares Silva; Daniel Simões Lopes; José Javier Serrano Olmedo (FSDM, 2021)

A Proposal of a Motion Measurement System to Support Visually Impaired People in Rehabilitation Using Low-Cost Inertial Sensors. - Karla Miriam Reyes Leiva; Milagros Jaén-Vargas; Miguel Ángel Cuba; Sergio Sánchez Lara; José Javier Serrano Olmedo (Entropy, 2021)

Inertial Measurement Unit Sensors in Assistive Technologies for Visually Impaired People, a Review. - Karla Miriam Reyes Leiva; Milagros Jaén-Vargas; Benito Codina; José Javier Serrano Olmedo (Sensors, 2021)

Effects of sliding window variation in the performance of acceleration-based human activity recognition using deep learning models. - Milagros Jaén-Vargas; Karla Miriam Reyes Leiva; Francisco Fernandes; Sérgio Barroso Gonçalves; Miguel Tavares Silva; Daniel Simões Lopes; José Javier Serrano Olmedo (PeerJ Comput. Sci., 2022)

Accuracy Comparison of CNN, LSTM, and Transformer for Activity Recognition Using IMU and Visual Markers. - María Fernanda Trujillo-Guerrero; Stadyn Román-Niemes; Milagros Jaén-Vargas; Alfonso Cadiz; Ricardo Fonseca; José Javier Serrano Olmedo (IEEE Access, 2023)

AI-driven balance evaluation: a comparative study between blind and non-blind individuals using the mini-BESTest. - Milagros Jaén-Vargas; Josué Pagán; Shiyang Li; María Fernanda Trujillo-Guerrero; Niloufar Kazemi; Alessio Sansò; Benito Codina-Casals; Roy Abi Zeid Daou; José Javier Serrano Olmedo (PeerJ Comput. Sci., 2025)