Federica Gabriella Cornacchia Loizzo
Papers
4
Total Citations
72
H-Index
4
About
Federica Gabriella Cornacchia Loizzo is a pioneering researcher at the intersection of human-robot interaction (HRI), assistive technology, and affective computing. Her work focuses on enabling robots to perceive, interpret, and respond to human gestures, emotions, and daily activities, with a strong emphasis on supporting vulnerable populations. Her most impactful contribution, a 2021 study on daily gesture recognition combining vision and wearable systems, has garnered 33 citations and demonstrates a novel integration of Pepper robot’s RGB-D camera with an inertial device (SensHand) to recognize five daily living gestures from twenty participants. This work lays the foundation for more intuitive human-robot cooperation. During the COVID-19 outbreak, Loizzo led pilot studies on assistive technology for frail older adults, earning 20 citations for addressing isolation through remote monitoring and support. Her 2024 experimental study (13 citations) explores how coherent robot behavior and embodiment influence emotion perception, revealing that humans apply social models to robots using co-speech gestures. Additionally, her 2022 work on emotion recognition during HRI (6 citations) advances robots’ ability to “feel” human emotional states. Loizzo’s research is notable for its practical applications in healthcare and aging, bridging technical innovation with real-world empathy.
Research Focus
Key Achievements
Top Papers
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