This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Nvidia Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations by Shelly Goel in Drowsiness Detection Systems
Introduction
Shelly Goel is an accomplished inventor based in Irving, TX (US). She has made significant contributions to the field of drowsiness detection systems through her innovative patent. Her work focuses on enhancing the accuracy of drowsiness assessments, which is crucial for safety in various applications.
Latest Patents
Shelly Goel holds a patent titled "Circadian rhythm-based training data correction for drowsiness detection systems and applications." This patent presents various examples of circadian rhythm-based data augmentation for drowsiness detection systems. The embodiments described may produce an estimated circadian rhythm for a test subject, vehicle driver, or other machine operator. The pattern of this circadian rhythm can be utilized to correct, confirm, calibrate, or augment drowsiness assessments derived from video image data. The position of a person within their circadian cycle serves as an indication of their level of drowsiness. This estimated circadian cycle can generate more accurate ground truth training data for machine learning models and can be employed by real-time, in-vehicle drowsiness detection systems that infer driver drowsiness levels based on captured images. Additionally, a circadian rhythm drowsiness estimate may be used to correct, calibrate, augment, or replace a drowsiness score predicted by a machine learning model.
Career Highlights
Shelly Goel is currently employed at Nvidia Corporation, where she continues to innovate in the field of technology. Her work at Nvidia has allowed her to collaborate with leading experts and contribute to advancements in machine learning and drowsiness detection systems.
Collaborations
One of her notable coworkers is Niranjan Avadhanam, who collaborates with her on various projects at Nvidia Corporation. Their teamwork has been instrumental in driving forward the research and development of drowsiness detection technologies.
Conclusion
Shelly Goel's innovative work in circadian rhythm-based drowsiness detection systems showcases her expertise and commitment to enhancing safety through technology. Her contributions are paving the way for more accurate and reliable drowsiness detection applications.