This inventor holds 1 USPTO granted patent. Top assignee: Novartis Ag. Active years: 2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2020
Title: Antonio Criminsi: Innovator in Motor Task Analysis
Introduction
Antonio Criminsi is a notable inventor based in Cambridge, GB. He has made significant contributions to the field of motor task analysis through his innovative patent. His work focuses on utilizing video processing to evaluate motor tasks, which can be crucial in assessing neurological conditions.
Latest Patents
Antonio Criminsi holds a patent for a "Motor task analysis system and method." This invention describes a method for video processing that analyzes motor tasks. In various examples, a video of a person performing a motor task, such as placing their forefinger on their nose, is input into a trained machine learning system. The system classifies the motor task into one of several classes. Motion descriptors, such as optical flow, are computed from pairs of frames of the video and are then input to the machine learning system. This motor task analysis can be instrumental in assessing or evaluating neurological conditions such as multiple sclerosis and Parkinson's disease.
Career Highlights
Antonio Criminsi is currently employed at Novartis AG, where he continues to develop his innovative ideas. His work at Novartis AG allows him to collaborate with other experts in the field and contribute to advancements in medical technology.
Collaborations
Antonio has worked alongside talented colleagues, including Darko Zikic and Peter Kontschieder. Their collaboration has likely enhanced the development and application of his innovative ideas in motor task analysis.
Conclusion
Antonio Criminsi is a pioneering inventor whose work in motor task analysis has the potential to significantly impact the assessment of neurological conditions. His innovative approach using video processing and machine learning showcases the intersection of technology and healthcare.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
