Rim Barioul
Papers
4
Total Citations
30
H-Index
3
About
Rim Barioul is a researcher advancing the frontier of human-machine interaction through innovative sensing and gesture recognition technologies. Her work centers on developing intelligent systems that interpret human hand gestures for applications in prosthetic control, robotic telemanipulation, and rehabilitation. Barioul’s most cited paper, “Simultaneous Pressure Sensors Monitoring System for Hand Gestures Recognition” (2020, 15 citations), established a foundational approach for tracking and predicting gestures using pressure sensor arrays. She has since pushed the boundaries of real-time capability, notably in “Exploring the Real-Time Capability of Electrical Impedance Tomography for Hand Sign Recognition in Robotic Hand Control” (2024, 7 citations), which leverages muscle conductivity changes for sign recognition. Barioul also contributed to agile manufacturing with “Gesture Based Symbiotic Robot Programming for Agile Production” (2022, 5 citations), enabling intuitive robot programming through gestures. Her hybrid measurement system combining EMG and FMG signals (2022, 3 citations) further demonstrates her commitment to robust, multi-modal sensing. With over 30 total citations, Barioul’s work is shaping the future of seamless, intuitive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Gesture Based Symbiotic Robot Programming for Agile Production5 citations · 2022
- 4