Investigador, INTA, Spain
Inmaculada Mohíno Herranz is a distinguished researcher specializing in Information and Communication Technologies, particularly in the fields of pattern recognition, signal processing, and physiological signal analysis. With a strong academic background and experience at the National Institute of Aerospace Technology (INTA), she has significantly contributed to the understanding of emotion recognition and stress detection. Her work includes over nine journal articles and numerous conference papers, underscoring her commitment to advancing technology in her field. 🌟
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Education
Dr. Mohíno Herranz received her M.Eng. degree in Telecommunication Engineering in 2010, followed by a second degree in Electronics Engineering in 2012. She completed her Master’s in Information and Communication Technologies in 2015 and earned her PhD with honors in Information and Communication Technologies from the University of Alcalá in 2017. Her education has laid a solid foundation for her research and professional achievements. 🎓
Experience
Dr. Mohíno Herranz has a diverse professional background. She worked as a researcher in the Signal Theory and Communications Department at the University of Alcalá until 2021. Currently, she is a researcher at the National Institute for Aerospace Technology, where she focuses on metrology and calibration. Her experience spans various projects with both public and private funding, highlighting her capability in collaborative and applied research. 🔬
Research Interests
Her primary research interests include pattern recognition, signal processing, and physiological signal processing. She focuses on emotion recognition and stress detection, employing innovative methodologies to analyze physiological signals. Dr. Mohíno Herranz is dedicated to advancing the understanding of how technology can improve emotional and mental health through her research. 💡
Publications Top Notes
Dr. Mohíno Herranz has published a number of influential articles in reputable journals. Here are a few of her significant works:
- Initializing the weights of a multilayer perceptron for activity and emotion recognition
Expert Systems with Applications (2024)
DOI: 10.1016/j.eswa.2024.124305
Cited by: Not available yet.
- Introducing the ReaLISED Dataset for Sound Event Classification
Electronics (2022)
DOI: 10.3390/electronics11121811
Cited by: Not available yet.
- A Wrapper Feature Selection Algorithm: An Emotional Assessment Using Physiological Recordings from Wearable Sensors
Sensors (2020)
DOI: 10.3390/s20010309
Cited by: Not available yet.
- Activity Recognition Using Wearable Physiological Measurements: Selection of Features from a Comprehensive Literature Study
Sensors (2019)
DOI: 10.3390/s19245524
Cited by: Not available yet.
- Assessment of Mental, Emotional and Physical Stress through Analysis of Physiological Signals Using Smartphones
Sensors (2015)
DOI: 10.3390/s151025607