Ithaca, NY, United States of America

Benjamin Steeper


Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Benjamin Steeper in Facial Movement Tracking Technology

Introduction

Benjamin Steeper 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 understanding of facial expressions through advanced systems and methods.

Latest Patents

Steeper 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. Frontal view images of a user making a variety of facial expressions are acquired to create a data training set for use in a machine-learning process. Head-mounted or neck-mounted wearable devices are equipped with one or more camera(s) or acoustic device(s) in communication with a data processing system. The cameras capture images of contours of the user's face from either the cheekbone or the chin profile of the user. The acoustic devices transmit and receive signals to calculate a representation of the skin deformation. A data processing system uses the images, the profile of the contours, or skin deformation to track facial movement or to reconstruct facial expressions of the user based on the data training set. He has 1 patent to his name.

Career Highlights

Steeper is affiliated with Cornell University, where he continues to develop and refine his innovative technologies. His work has the potential to impact various fields, including gaming, virtual reality, and emotional recognition systems.

Collaborations

Some of his notable coworkers include Cheng Zhang and Tuochao Chen, who contribute to the research and development of his projects.

Conclusion

Benjamin Steeper's advancements in wearable facial movement tracking technology represent a significant step forward in understanding human expressions. His innovative approach and dedication to research continue to inspire future developments in this exciting field.

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