Multiclass motor imagery classification based on the correlation of pattern images generated by spatial filters. - Brenda E. Olivas-Padilla; Mario Ignacio Chacon Murguia; Juan A. Ramirez-Quintana (CCE, 2017)

Designing a web-based automatic ergonomic assessment using motion data. - Brenda E. Olivas-Padilla; Alina Glushkova; Dimitrios Menychtas; Sotiris Manitsaris (PETRA, 2019)

Classification of multiple motor imagery using deep convolutional neural networks and spatial filters. - Brenda E. Olivas-Padilla; Mario Ignacio Chacon Murguia (Appl. Soft Comput., 2019)

Hidden Markov Modelling And Recognition Of Euler-Based Motion Patterns For Automatically Detecting Risks Factors From The European Assembly Worksheet. - Brenda Elizabeth Olivas-Padilla; Dimitrios Menychtas; Alina Glushkova; Sotiris Manitsaris (ICIP, 2020)

A new approach for multiclass motor imagery recognition using pattern image features generated from common spatial patterns. - Mario Ignacio Chacon Murguia; Brenda E. Olivas-Padilla; Juan A. Ramirez-Quintana (Signal Image Video Process., 2020)

Stochastic-Biomechanic Modeling and Recognition of Human Movement Primitives, in Industry, Using Wearables. - Brenda Elizabeth Olivas-Padilla; Sotiris Manitsaris; Dimitrios Menychtas; Alina Glushkova (Sensors, 2021)

Computational ergonomics for task delegation in Human-Robot Collaboration: spatiotemporal adaptation of the robot to the human through contactless gesture recognition. - Brenda Elizabeth Olivas-Padilla; Dimitris Papanagiotou; Gavriela Senteri; Sotiris Manitsaris; Alina Glushkova (CoRR, 2022)

Improving Human-Robot Collaboration in TV Assembly Through Computational Ergonomics: Effective Task Delegation and Robot Adaptation. - Brenda Elizabeth Olivas-Padilla; Dimitris Papanagiotou; Gavriela Senteri; Sotiris Manitsaris; Alina Glushkova (SMC, 2023)

Motion Capture Benchmark of Real Industrial Tasks and Traditional Crafts for Human Movement Analysis. - Brenda Elizabeth Olivas-Padilla; Alina Glushkova; Sotiris Manitsaris (IEEE Access, 2023)

Deep state-space modeling for explainable representation, analysis, and generation of professional human poses. - Brenda Elizabeth Olivas-Padilla; Sotiris Manitsaris (CoRR, 2023)

Deep state-space modeling for explainable representation, analysis, and forecasting of professional human body dynamics in dexterity understanding and computational ergonomics. (Modélisation profonde espace-état pour la représentation explicable, l'analyse et la prédiction des dynamiques du corps humain dans la compréhension de la dextérité et l'ergonomie computationnelle). - Brenda Elizabeth Olivas-Padilla (2023)

Interactive Visualization and Dexterity Analysis of Human Movement: AIMove Platform. - Brenda Elizabeth Olivas-Padilla; Sotiris Manitsaris; Alina Glushkova (FG, 2024)

Explainable AI in human motion: A comprehensive approach to analysis, modeling, and generation. - Brenda Elizabeth Olivas-Padilla; Sotiris Manitsaris; Alina Glushkova (Pattern Recognit., 2024)