Genma Sano

Papers

Total Citations

H-Index

About

Genma Sano is a researcher at the forefront of human-robot interaction, specializing in affective computing and biosignal processing. His work focuses on bridging the gap between human emotion and machine perception, aiming to create robots that can intuitively understand and adapt to human subjective states. Sano’s most influential contribution, detailed in his highly cited 2012 paper “Estimating Subjective Assessments Using a Simple Biosignal Sensor,” demonstrates how minimal physiological data—such as heart rate or skin conductance—can be harnessed to infer a person’s feelings or preferences. This foundational research, which has garnered a total of 13 citations, proposes a practical pathway toward endowing robots with emotional intelligence, enabling them to perceive human emotion and adjust their behavior accordingly. By advocating for the use of simple, non-invasive sensors, Sano’s work makes affective computing more accessible and scalable, directly supporting the vision of a future where robots coexist seamlessly with humans in daily life. His achievements highlight a critical step in developing empathetic machines, making his research essential reading for students and scholars interested in the intersection of robotics, psychology, and sensor technology.