Company Filing History:
Years Active: 2008-2023
Title: Kase J Saylor: Innovator in Digital Twin Technology
Introduction
Kase J Saylor is a prominent inventor based in San Antonio, TX (US). He has made significant contributions to the field of technology, particularly in the development of digital twin systems. With a total of 4 patents, Saylor's work focuses on enhancing predictive performance outcomes through innovative methodologies.
Latest Patents
One of Saylor's latest patents is titled "Digital twin for predicting performance outcomes." This invention outlines a method for generating a digital twin that can predict the activity of an animate subject. The digital twin is created using system model data and movement data, allowing it to simulate specified activities. Additionally, the subject can wear wearable sensors to enhance the accuracy of the predictions. By employing artificial intelligence techniques, the simulation can forecast various physical outcomes from the activity.
Another notable patent is "Markerless motion capture using machine learning and training with biomechanical data." This method utilizes a learning machine to create a biomechanical data representation of a subject through markerless video motion capture. The learning machine is trained with both markerless video and marker-based data, which helps generate a comprehensive biomechanical model. This innovative approach combines different data sources to improve the accuracy of motion capture technology.
Career Highlights
Kase J Saylor is currently employed at the Southwest Research Institute, where he continues to push the boundaries of technology and innovation. His work has garnered attention for its potential applications in various fields, including healthcare and sports science.
Collaborations
Saylor collaborates with esteemed colleagues such as Daniel P Nicolella and David R Chambers, contributing to a dynamic research environment that fosters innovation and creativity.
Conclusion
Kase J Saylor is a visionary inventor whose work in digital twin technology and motion capture is paving the way for advancements in predictive analytics. His contributions are shaping the future of technology and enhancing our understanding of human performance.