Matteo Polsinelli, Alessandro Di Matteo, Daniele Lozzi, Enrico Mattei, Filippo Mignosi, Lorenzo Nazzicone, Vincenzo Stornelli, Giuseppe Placidi
Computer vision (CV)-based systems using cameras and recognition algorithms offer touchless, cost-effective, precise, and versatile hand tracking. These systems allow unrestricted, fluid, and natural movements without the constraints of wearable devices, gaining popularity in human-system interaction, virtual reality, and medical procedures. However, traditional CV-based systems, relying on stationary cameras, are not compatible with mobile applications and demand substantial computing power. To address these limitations, we propose a portable hand-tracking system utilizing the Leap Motion Controller 2 (LMC) mounted on the head and controlled by a single-board computer (SBC) powered by a compact power bank...
March 30, 2024: Sensors