The Future of Human-Machine Interaction – A Gesture-Controlled Humanoid Robotic Hand
| dc.contributor.author | Malak K. Takruri | |
| dc.contributor.author | Mohammad Najjar | |
| dc.contributor.author | Moaid Ma'ani | |
| dc.date.accessioned | 2026-02-15T07:28:34Z | |
| dc.date.available | 2026-02-15T07:28:34Z | |
| dc.date.issued | 2026-02-15 | |
| dc.description.abstract | Project Abstract (English) This project presents the design, implementation, and evaluation of a gesture-controlled robotic hand intended to enable intuitive human–machine interaction (HMI) using low-cost and commercially available components. The system integrates wearable sensing, embedded signal processing, wireless communication, and electromechanical actuation. How it Works: Sensing: Finger motion is captured using resistive flex sensors mounted on a wearable glove. Processing: An Arduino Uno microcontroller samples the sensor data through a 10-bit analog-to-digital converter (ADC). Communication: The digitized data is transmitted wirelessly via HC-05 Bluetooth modules. Actuation: A receiving microcontroller decodes the data and generates Pulse-Width Modulation (PWM) signals to control servo motors, reproducing the user’s gestures in real time. Results: The experimental evaluation demonstrated stable operation with an end-to-end latency below 250 ms. The results confirm the feasibility of using simple sensing techniques for effective robotic control, providing a foundation for future applications in assistive robotics and human–robot interaction research. | |
| dc.identifier.uri | https://hdl.handle.net/20.500.11888/20840 | |
| dc.language.iso | en | |
| dc.supervisor | Salamah Abdalfattah | |
| dc.title | The Future of Human-Machine Interaction – A Gesture-Controlled Humanoid Robotic Hand |
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