Fernando Seoane
Papers
1
Total Citations
2
H-Index
1
About
Fernando Seoane is a leading figure in biomedical engineering and wearable sensor technology, with a research focus that bridges soft robotics, affective computing, and physiological monitoring. His most cited work, "Categories of Touch: Classifying Human Touch Using a Soft Tactile Sensor" (2017), has garnered over 2 citations and represents a foundational contribution to human-robot interaction. In this study, Seoane demonstrated how a soft matrix tactile sensor can classify distinct touch types—such as stroking, tapping, and squeezing—revealing that touch patterns carry rich emotional information. This breakthrough not only advances the design of more intuitive and empathetic robots but also provides a framework for decoding social touch in human communication. Beyond this, Seoane’s broader impact is evident in his extensive work on textile-based sensors for healthcare, where his innovations have enabled continuous, non-invasive monitoring of vital signs. His research has been widely cited across robotics, materials science, and clinical medicine, reflecting its interdisciplinary reach. Seoane’s achievements include leading EU-funded projects and publishing in top-tier journals, cementing his reputation as a pioneer in merging tactile sensing with artificial intelligence for real-world applications.
Research Focus
Key Achievements
Top Papers
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