David Carneros-Prado
Orcid: 0000-0003-4042-3713
According to our database1,
David Carneros-Prado
authored at least 13 papers
between 2021 and 2025.
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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Bibliography
2025
Automation of observational gait assessment through an optical 3D motion system and transformers.
Appl. Intell., February, 2025
2024
Direct Memory Access-Based Data Storage for Long-Term Acquisition Using Wearables in an Energy-Efficient Manner.
Sensors, August, 2024
Comparative Analysis of Generic and Fine-Tuned Large Language Models for Conversational Agent Systems.
Robotics, May, 2024
Synthetic 3D full-body skeletal motion from 2D paths using RNN with LSTM cells and linear networks.
Comput. Biol. Medicine, 2024
A Comparison Between Multilayer Perceptrons and Kolmogorov-Arnold Networks for Multi-Task Classification in Sitting Posture Recognition.
IEEE Access, 2024
Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024), 2024
2023
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
Comparative Study of Large Language Models as Emotion and Sentiment Analysis Systems: A Case-Specific Analysis of GPT vs. IBM Watson.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
Enhancing Body Percussion Learning: An ICT Supplement for Home Practice Using Gesture Recognition.
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023), 2023
2022
Approach to a Lower Body Gait Generation Model Using a Deep Convolutional Generative Adversarial Network.
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence, 2022
2021
PhyRe Up! A System Based on Mixed Reality and Gamification to Provide Home Rehabilitation for Stroke Patients.
IEEE Access, 2021