Carmela Attolico

Papers

Total Citations

H-Index

About

Carmela Attolico is a researcher specializing in human-robot interaction (HRI) and computer vision, with a particular focus on developing intuitive, natural interfaces that bridge the gap between humans and robotic systems. Her work centers on gesture recognition technologies that enable seamless communication between users and service robots, making such systems more accessible, especially for elderly and physically impaired individuals. Attolico's most influential contribution is her 2015 paper on a Kinect-based gesture recognition system, which has garnered 59 citations and remains a key reference in the HRI field. This work leveraged Microsoft's Kinect camera alongside the OpenNI framework to achieve real-time human skeleton tracking, employing quaternion-based representations to classify ten distinct gestures performed by multiple users. Building on earlier groundwork, her 2014 study explored neural network approaches for gesture recognition using Kinect sensors, further demonstrating her commitment to applying machine learning techniques to practical robotic applications. Taken together, Attolico's research highlights the importance of making human-robot interaction more natural and user-friendly. Her innovative use of depth-sensing cameras and intelligent algorithms has contributed meaningfully to the growing field of assistive robotics, offering a strong foundation for researchers looking to develop the next generation of intelligent, socially aware robotic systems.