Samuel John Llewellyn Lyons

Title: Innovations by Samuel John Llewellyn Lyons

Introduction

Samuel John Llewellyn Lyons is an accomplished inventor based in Bristol, GB. He has made significant contributions to the field of neural networks and hand-pose estimation. His innovative approach addresses challenges in domain adaptation, showcasing his expertise in technology and engineering.

Latest Patents

Samuel holds a patent for "Using iterative 3D-model fitting for domain adaptation of a hand-pose-estimation neural network." This patent describes a solution for an unlabeled target domain dataset challenge using a domain adaptation technique. The method trains a neural network with an iterative 3D model fitting algorithm to generate refined target domain labels. The neural network supports the convergence of the 3D model fitting algorithm, which provides refined labels for training. During real-time inference, only the trained neural network is required. A convolutional neural network (CNN) is trained using labeled synthetic frames from the source domain and unlabeled real depth frames from the target domain. The CNN initializes an offline iterative 3D model fitting algorithm capable of accurately labeling hand poses in real depth frames. The labeled real depth frames are then used to continue training the CNN, thereby improving accuracy beyond what is achievable with only unlabeled real depth frames for domain adaptation. Samuel has 1 patent to his name.

Career Highlights

Samuel is currently associated with Ultrahaptics IP Ltd, where he applies his innovative ideas to advance technology in the field of haptics and neural networks. His work has been instrumental in developing solutions that enhance user interaction with technology.

Collaborations

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Conclusion

Samuel John Llewellyn Lyons is a notable inventor whose work in neural networks and domain adaptation has the potential to significantly impact technology. His innovative patent reflects his dedication to advancing the field and improving user experiences.