Boxing Training Robot

dc.contributor.author	Ahmed Jalamneh
dc.contributor.author	Ahmed Nabhan
dc.date.accessioned	2023-09-18T09:01:03Z
dc.date.available	2023-09-18T09:01:03Z
dc.date.issued	2023
dc.description.abstract	This report presents the design and implementation of a boxing training robot with AI capabilities for punch detection and skill enhancement. The objective was to create a versatile system that provides real-time feedback and guidance to users practicing their boxing techniques. The system offers two modes: Training Mode for free practice with AI feedback on speed, accuracy, and form, and Vision Mode to simulate real-time punches when the user assumes a guard position. Software and hardware integration techniques ensure seamless communication. Experimental evaluations confirm the system's effectiveness, detecting punches in real-time and providing valuable feedback for an immersive training experience. Additionally, Vision Mode utilizes AI to detect the user's guard position, triggering the robot to simulate punches in real-time. The project demonstrates effective software and hardware integration, ensuring seamless communication among components. Experimental evaluations validate the system's punch detection accuracy and its ability to provide a valuable training experience.
dc.identifier.uri	https://hdl.handle.net/20.500.11888/18473
dc.supervisor	Dr. Anas Tomah
dc.supervisor	Dr. Saad Tarabiya
dc.title	Boxing Training Robot