Company Filing History:
Years Active: 2007
Title: Jason P Luck - Innovator in Real-Time Motion Tracking
Introduction
Jason P Luck is an accomplished inventor based in Arvada, Colorado. He has made significant contributions to the field of motion tracking technology. His innovative approach focuses on markerless methods for tracking subjects in three-dimensional environments.
Latest Patents
Jason holds a patent for "Real time markerless motion tracking using linked kinematic chains." This invention describes a method for tracking the motion of subjects, including robotic, animal, or human subjects, in real-time. The system utilizes a model based on linked kinematic chains and requires only a single computer with inexpensive video equipment. Notably, it does not necessitate the use of markers or specialized clothing. The method constructs a simple model of rigid linked segments of the subject and tracks them using three-dimensional volumetric data collected by a multiple camera video imaging system. A physics-based method computes forces to align the model with subsequent volumetric data sets in real-time. This innovative approach effectively handles occlusion of segments and accommodates joint limits, velocity constraints, and collision constraints, while also providing for error recovery. Furthermore, it eliminates singularities in Jacobian-based calculations, which have been problematic in alternative methods.
Career Highlights
Jason is currently employed at Sandia Corporation, where he continues to develop and refine his innovative technologies. His work has garnered attention for its practical applications in various fields, including robotics and human motion analysis.
Collaborations
Jason collaborates with talented individuals in his field, including his coworker Daniel E Small. Their combined expertise contributes to the advancement of motion tracking technologies.
Conclusion
Jason P Luck is a notable inventor whose work in real-time markerless motion tracking has the potential to revolutionize how we understand and analyze motion in various environments. His innovative methods and dedication to technology continue to pave the way for future advancements in this field.