Fernando P. Cardenas-Hernandez, Author at EduTec Science

Author: Fernando P. Cardenas-Hernandez

Researcher assistant at the Educational Technologies group of the DIPF since July 2021. Some of his previous projects used the following hardware: microcontrollers, SBCs and thermal & industrial cameras. Research Interests: Computer Vision, Human Computer Interaction, Interactive Learning Technologies, Embedded Systems and Sensors.

Jun112024 by Fernando P. Cardenas-HernandezNo Comments

The final Consortial Meeting of the MILKI-PSY Project was held in Cologne

Event, New Pub, Project meeting

At the end of May, all project partners of the Multimodal Immersive Learning with Artificial Intelligence for Psychomotor Skills (MILKI-PSY) project convened for the concluding session at the Cologne Game Lab and the German Sport University in Cologne. The project's aim was to develop artificial intelligence-supported, data-driven, multimodal, immersive learning environments for the autonomous acquisition of psychomotor skills. The research outcomes and their corresponding learning tools underwent evaluation. These included a virtual learning environment developed to facilitate the training process, innovative feedback methods to learn and refine movements, and the creation of Augmented Reality and Virtual Reality applications for sports such as golf, dancing, and running. Furthermore, virtual learning scenarios were devised for collaborative tasks with a robot in assembly work. It was demonstrated that innovative, immersive learning environments could…

Mar62024 by Fernando P. Cardenas-HernandezNo Comments

Personalizing running training with immersive technologies using a multimodal framework

Journal, New Pub

To improve performance and prevent injuries, running training needs proper personalized supervision and planning. This study examines the factors that influence running training programs, and the benefits and challenges of personalized plans. It also investigates how multimodal, immersive and artificial intelligence (AI) technologies can improve personalized training. We did an exploratory sequential mixed research with running coaches. We analyzed the data and found relevant factors of the training process. We recognized four key aspects for running training: physical, technical, mental and body awareness. We used these aspects to create a framework that proposes multimodal, immersive and AI technologies to help personalized running training. It also lets coaches guide their athletes on each aspect personally. The framework aims to personalize the training by showing how coaches and multimodal learning experience agents…

Jul142023 by Fernando P. Cardenas-HernandezNo Comments

MILKI-PSY Consortial Meeting in Berlin

Project meeting

The fourth face-to-face meeting of the MILKI-PSY research consortium took place on July 12 and 13, 2023 at the German Research Center for Artificial Intelligence in Berlin. The DIPF members: Dr Daniele Di Mitri, Dr Jan Schneider, Gianluca Romano and Fernando P. Cardenas-Hernandez shared their progress on how to address the technical and mental aspects of athletes' learning process through technologies such as Inertial-Measurement-Unit-sensors and Virtual-Reality-headsets. In the same context, they also exchanged ideas with the other project partners, led by Prof. Dr. Roland Klemke of the Cologne Game Lab of TH Cologne, on how to create, integrate and evaluate a common psychomotor training environment and plan future studies in this field.

Sep152022 by Fernando P. Cardenas-HernandezNo Comments

New Pub: Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices

Workshop

On September 13, during the MILeS 2022 – Multimodal Immersive Learning Systems workshop that took place at EC-TEL 2022 conference in Toulouse, France, the paper entitled Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices was presented. This paper, which will appear in the CEUR Workshop Proceedings, was written by Fernando P. Cardenas-Hernandez, and Jan Schneider. Abstract. For the integral learning/training of a psychomotor activity such as running, it is necessary to target not only the physical aspects but also the technical and mental aspects that make it up, an alternative to solve this issue is through the understanding and consideration of feedback and periodization, which are elements that constitute and influence transcendentally and differently each of the three aspects involved. That is why,…

Jun52022 by Fernando P. Cardenas-HernandezNo Comments

Workshop – Learning Psychomotor Skills with AI & AR/VR considering Technical and Mental Aspects

Artificial Intelligence, Augmented Reality, Event, Multimodal Learning Analytics, Project, Research topic, Summer School, Workshop

From May 21 to 28, the 16th version of the EATEL Summer School on Technology-Enhanced Learning (JTELSS 2022) was held in the city of Halkidiki, Greece, whose purpose is to promote the dissemination of research in the area of Technology Enhanced Learning and encourage international cooperation between researchers, students and people interested in this topic. As members of the MILKI-PSY project, Dr. Daniele Di Mitri, Fernando P. Cardenas Hernandez, Gianluca Romano and Dr. Jan Schneider attended JTELSS 2022. Additionally, Fernando P. Cardenas Hernandez and Gianluca Romano, as active participants in the summer school, presented the workshop entitled "Learning Psychomotor Skills with AI & AR/VR considering Technical and Mental Aspects". This workshop started with a theoretical introduction given by both exponents where the participants were able to identify some of the…

Jul282021 by Fernando P. Cardenas-HernandezNo Comments

Fernando P. Cardenas-Hernandez joins the team

Multimodal Learning Analytics, Project, Team

Starting 1st July 2021, Fernando P. Cardenas-Hernandez joins the team as a doctoral researcher. He earned his Master’s degree in Microsystems from the University of Freiburg. After his graduation, he worked as a software engineer in different companies. Some of his previous projects made use of microcontrollers, SBCs and thermal & industrial cameras. He is currently involved in the MILKI-PSY project.