Cesare Tiengo
Papers
3
Total Citations
57
H-Index
3
About
Cesare Tiengo is a researcher at the forefront of intelligent prosthetics, specializing in the integration of multimodal sensing for advanced hand prosthesis control. His work centers on combining surface electromyography (sEMG), gaze tracking, visual data, and inertial measurements to create more natural and robust control systems for individuals with hand amputations. Tiengo’s major contributions include the development of the Megane Pro dataset, a pioneering multimodal acquisition framework that captures myoelectric, visual, and gaze-tracking data to improve prosthesis usability in everyday life. His most-cited paper (2020, 36 citations) provides a comprehensive dataset of grasps, enabling researchers to train more intuitive prosthetic controllers. By addressing the gap between laboratory research and commercial implementation, Tiengo’s work has laid critical groundwork for reducing the physical and psychological burden of amputation. His datasets are widely used in the field, with cumulative citations exceeding 57, reflecting their impact on advancing dexterous, human-centered prosthetic technology.
Research Focus
Key Achievements
Top Papers
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