Forearm Ultrasound

Forearm ultrasound imaging is emerging as a valuable tool for hand gesture recognition and related applications, primarily focusing on developing intuitive human-machine interfaces and improving upper limb rehabilitation. Current research heavily utilizes convolutional neural networks (CNNs), including 3D CNNs to capture spatiotemporal information from ultrasound video, and explores incremental learning techniques to improve intersession reproducibility and reduce the need for extensive retraining. This technology holds significant promise for creating more natural and accurate control systems for prosthetics, virtual reality, and assistive devices, as well as providing new insights into musculoskeletal function.