Brenda E. Olivas-Padilla

According to our database, Brenda E. Olivas-Padilla authored at least 13 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

Interactive Visualization and Dexterity Analysis of Human Movement: AIMove Platform.

Brenda Elizabeth Olivas-Padilla, Sotiris Manitsaris, Alina Glushkova

Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

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

PhD thesis, 2023

Deep state-space modeling for explainable representation, analysis, and generation of professional human poses.

Brenda Elizabeth Olivas-Padilla, Sotiris Manitsaris

CoRR, 2023

Motion Capture Benchmark of Real Industrial Tasks and Traditional Crafts for Human Movement Analysis.

Brenda Elizabeth Olivas-Padilla, Alina Glushkova, Sotiris Manitsaris

CoRR, 2023

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

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

2021

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

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

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

Proceedings of the IEEE International Conference on Image Processing, 2020

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

Designing a web-based automatic ergonomic assessment using motion data.

Brenda E. Olivas-Padilla, Alina Glushkova, Dimitrios Menychtas, Sotiris Manitsaris

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

2017

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

Proceedings of the 14th International Conference on Electrical Engineering, 2017