Company Filing History:
Years Active: 2025
Title: Innovations in Facial Movement Tracking by Hyunchul Lim
Introduction
Hyunchul Lim is an innovative inventor based in Ithaca, NY (US). He has made significant contributions to the field of wearable technology, particularly in tracking facial movements. His work focuses on enhancing the interaction between humans and machines through advanced facial recognition systems.
Latest Patents
Hyunchul Lim holds a patent for wearable facial movement tracking devices. This technology provides systems and methods for tracking facial movements and reconstructing facial expressions by learning skin deformation patterns and facial features. The patent describes a process where frontal view images of a user making various facial expressions are acquired to create a data training set for use in a machine-learning process. The wearable devices, which can be head-mounted or neck-mounted, are equipped with one or more cameras or acoustic devices that communicate with a data processing system. The cameras capture images of the contours of the user's face from either the cheekbone or the chin profile. The acoustic devices transmit and receive signals to calculate a representation of the skin deformation. The data processing system utilizes the images, the profile of the contours, or skin deformation to track facial movement or reconstruct facial expressions based on the data training set. Hyunchul Lim has 1 patent to his name.
Career Highlights
Hyunchul Lim is affiliated with Cornell University, where he continues to push the boundaries of research in wearable technology. His work has implications for various applications, including virtual reality, gaming, and human-computer interaction.
Collaborations
He collaborates with notable colleagues such as Cheng Zhang and Tuochao Chen, contributing to advancements in their respective fields.
Conclusion
Hyunchul Lim's innovative work in wearable facial movement tracking devices showcases the potential of technology to enhance human interaction. His contributions to the field are paving the way for future advancements in facial recognition and machine learning.