Victoria Blanes‐Vidal
Papers
3
Total Citations
423
H-Index
3
About
Victoria Blanes‐Vidal is a pioneering researcher at the intersection of affective computing, biomedical engineering, and wireless health technologies. Her work spans two distinct but impactful domains: emotion recognition using artificial intelligence, and electromagnetic wave propagation for medical microrobotics. In her landmark 2023 systematic review on emotion recognition and AI—cited over 400 times—she synthesized a decade of research to provide critical recommendations for improving the accuracy and ethical deployment of emotion-sensing systems in healthcare and human-computer interaction. This work has become a foundational reference for researchers developing AI that interprets human emotions from physiological and physical signals. Simultaneously, Blanes‐Vidal has advanced the field of minimally invasive medicine through her studies on intra-body radio frequency tracking. Her 2015 paper on measuring and modeling effective complex permittivity within the human body, along with her adaptive path loss channel model for multilayer transmission media, directly addresses the challenge of precisely localizing medical microrobots during non-invasive procedures. By challenging the oversimplified assumption of the body as a homogeneous medium, her contributions provide critical frameworks for improving the navigation and safety of next-generation diagnostic and therapeutic microdevices.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3