Guilherme Baldo
Papers
1
Total Citations
53
H-Index
1
About
Guilherme Baldo is a leading researcher at the intersection of computer vision, affective computing, and human-robot interaction. His work focuses on developing robust, multimodal systems for emotion recognition, particularly in the challenging context of child-robot interaction (CRI). Baldo’s most cited paper, "Visual and Thermal Image Processing for Facial Specific Landmark Detection to Infer Emotions in a Child-Robot Interaction" (2019, 53 citations), introduces a pioneering approach that fuses visual (RGB) and infrared thermal imaging (IRTI) to detect emotional states in children. By leveraging the Viola-Jones algorithm for facial landmark detection, his system overcomes the limitations of single-modality recognition, achieving greater accuracy in dynamic, real-world settings. This contribution is critical for creating more responsive and empathetic social robots. Baldo’s work has been instrumental in advancing CRI, demonstrating how non-invasive thermal imaging can capture subtle physiological cues—like temperature changes linked to emotional arousal—alongside visible expressions. His research not only pushes the boundaries of computer vision but also lays practical groundwork for applications in education, therapy, and assistive technologies, making him a key figure in the development of emotionally intelligent robotic systems.
Research Focus
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Top Papers
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