This inventor holds 5 USPTO granted patents and 2 published patent applications and 1 EPO patent. Top assignee: Meta Platforms, Inc.. Active years: 2021-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2021-2025
Title: Carsten Sebastian Stoll: Inventor in Body-Pose Prediction
Introduction
Carsten Sebastian Stoll is an inventor based in San Francisco, California. His work includes systems and methods for predicting human body poses from sensor data. He is associated with Meta Platforms, Inc. Stoll is credited with 5 patents.
Latest Patents
Stoll’s latest patent work focuses on predicting lower-body poses and generating full-body pose estimates.
In one system, sensors coupled to a user provide data that a computing system uses to estimate an upper-body pose, including the user’s head and an arm. The system also considers contextual information to predict a lower-body pose, including a leg, and combines the estimates to generate a full-body pose.
A related system processes an upper-body pose to generate a temporal sequence of lower-body poses associated with different times. It then uses the upper-body pose and the sequence of lower-body poses to generate one or more full-body poses.
Career Highlights
Stoll’s listed patent contributions address the use of sensor data, contextual information, and temporal pose sequences to estimate body movement. This work reflects an approach to reconstructing full-body poses when sensor input may primarily capture the upper body.
Collaborations
Stoll’s listed coworkers include Samuel Alan Johnson and Benjamin Antoine Georges Lefaudeux. His work is associated with Meta Platforms, Inc.
Conclusion
Carsten Sebastian Stoll’s patent work centers on predicting lower-body movement and combining pose estimates to produce fuller representations of human motion.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
