Eduardo Gutiérrez Maestro
Eduardo Gutiérrez Maestro Position: Research Assistant (Doctoral Student) School/office: School of Science and TechnologyEmail: ZWR1YXJkby5ndXRpZXJyZXotbWFlc3RybztvcnUuc2U=
Phone: No number available
Room: T2214
About Eduardo Gutiérrez Maestro
Eduardo is a Ph.D student at the Center for Applied Autonomous Sensor Systems (AASS) Cognitive Robotic System Lab. He is employee at the University of Örebro by to the Wallenberg AI, Autonomous Systems and Software Program (WASP).
He received BSc in Telematics Engineering (2016) and MSc in Telecommunications Engineering (2019) from the University of Alcalá, Spain. In 2017 he studied half of his Masters studies at the Technische Universität Darmstadt, Germany.
As a researcher, Eduardo is focused to make use of AI (mainly Machine Learning and Deep Learning) to develop solutions which improve people’s mental health and life quality.
Research groups
Publications
Articles in journals
- Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Palmieri, L. , Kucner, T. P. & et al. (2024). THÖR-MAGNI: A large-scale indoor motion capture recording of human movement and robot interaction. The international journal of robotics research. [BibTeX]
- Gutiérrez Maestro, E. , Almeida, T. R. d. , Schaffernicht, E. & Martinez Mozos, O. (2023). Wearable-Based Intelligent Emotion Monitoring in Older Adults during Daily Life Activities. Applied Sciences, 13 (9). [BibTeX]
- Calatrava-Nicolás, F. M. , Gutiérrez-Maestro, E. , Bautista-Salinas, D. , Ortiz, F. J. , González, J. R. , Vera-Repullo, J. A. , Jiménez-Buendía, M. , Méndez, I. & et al. (2021). Robotic-Based Well-Being Monitoring and Coaching System for the Elderly in Their Daily Activities. Sensors, 21 (20). [BibTeX]
Conference papers
- Gutiérrez Maestro, E. , Banaee, H. & Loutfi, A. (2024). Towards Addressing Label Ambiguity in Sequential Emotional Responses Through Distribution Learning. In: 12th International Conference on Affective Computing and Intelligent Interactions, Glasgow, United Kingdom, September 15-18, 2024. Paper presented at 12th International Conference on Affective Computing and Intelligent Interaction (ACII 2024), Glasgow, UK, September 15-18, 2024. [BibTeX]
- Gutiérrez Maestro, E. , Banaee, H. & Loutfi, A. (2023). Stress Lingers: Recognizing the Impact of Task Order on Design of Stress and Emotion Detection Systems. In: 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology. Paper presented at 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology, (IEEECON 2023), Portomaso, St. Julians, Malta, December 7-9, 2023. (pp. 175-176). IEEE. [BibTeX]
- Almeida, T. , Rudenko, A. , Schreiter, T. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Kucner, T. P. , Martinez Mozos, O. & et al. (2023). THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-Conditioned Human Motion Prediction. In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW). Paper presented at IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Paris, France, October 2-6, 2023. (pp. 2192-2201). IEEE. [BibTeX]
- Almeida, T. R. d. , Gutiérrez Maestro, E. & Martinez Mozos, O. (2022). Context-free Self-Conditioned GAN for Trajectory Forecasting. In: Wani, MA; Kantardzic, M; Palade, V; Neagu, D; Yang, L; Chan, KY, 21st IEEE International Conference on Machine Learning and Applications. ICMLA 2022 Proceedings. Paper presented at 21st IEEE International Conference on Machine Learning and Applications (IEEE ICMLA), Nassau, Bahamas, December 12-14, 2022. (pp. 1218-1223). IEEE. [BibTeX]
- Schreiter, T. , Almeida, T. R. d. , Zhu, Y. , Gutiérrez Maestro, E. , Morillo-Mendez, L. , Rudenko, A. , Kucner, T. P. , Martinez Mozos, O. & et al. (2022). The Magni Human Motion Dataset: Accurate, Complex, Multi-Modal, Natural, Semantically-Rich and Contextualized. Paper presented at 31st IEEE International Conference on Robot & Human Interactive Communication, Naples, Italy, August 29 - September 2, 2022. [BibTeX]