Bilel Ben Atitallah
Papers
9
Total Citations
74
H-Index
5
About
Bilel Ben Atitallah is a researcher at the forefront of human-robot interaction and biomedical sensing, specializing in the development of intelligent systems for hand gesture recognition and robotic control. His work integrates nanocomposite-based pressure and strain sensors with advanced signal processing techniques, including Electrical Impedance Tomography (EIT) and force myography (FMG), to create intuitive, real-time interfaces for prosthetics, rehabilitation, and agile manufacturing. Among his most influential contributions is the development of piezo-resistive sensors for biomedical and tele-manipulation applications, which has garnered 19 citations, and a simultaneous pressure sensor monitoring system for hand gesture recognition (15 citations). His recent ultra-fast edge computing approach for EIT-based gesture classification (6 citations) and the design of the Fil3D-Hand, a low-cost humanoid robotic hand with integrated nanocomposite strain sensors (4 citations), highlight his commitment to affordable, high-performance solutions. With a total of over 70 citations across his publications, Ben Atitallah’s work is driving the next generation of symbiotic human-machine interfaces, enabling seamless, real-time control in both clinical and industrial settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Muscle Movement Tracking Using Nanocomposite Based Pressure Sensor13 citations · 2019
- 4
- 5
- 6Gesture Based Symbiotic Robot Programming for Agile Production5 citations · 2022
- 7
- 8
- 9Features Selection for Force Myography Based Hand Gesture Recognition2 citations · 2023