Company Filing History:
Years Active: 2015-2016
Title: Innovations by Mazen Abdel-Rahman in Motion Event Recognition
Introduction
Mazen Abdel-Rahman is an innovative inventor based in the United States. He has made significant contributions to the field of motion event recognition and video synchronization. His work focuses on enhancing the way events are captured and analyzed through portable wireless motion capture elements.
Latest Patents
One of his notable patents is the "Motion Event Recognition And Video Synchronization System And Method." This invention enables the recognition of events within motion data obtained from portable wireless motion capture elements. It also allows for the synchronization of these events with video, either as they occur or at a later time, based on location and/or time. The system may utilize an integrated camera or external cameras in relation to a mobile device. This technology automatically generates smaller event videos on the mobile device or server. It also facilitates the analysis or comparison of movement associated with the same user, other users, historical users, or groups of users. The invention is designed to provide low memory and power utilization, significantly reducing storage needs for video data related to various events, such as athletic actions or medical incidents.
Career Highlights
Throughout his career, Mazen Abdel-Rahman has focused on developing technologies that improve the efficiency of motion data capture and analysis. His innovative approach has the potential to transform how events are documented and reviewed in various fields, including sports and healthcare.
Collaborations
Mazen has collaborated with notable individuals in his field, including Michael D Bentley and Ryan Kaps. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.
Conclusion
Mazen Abdel-Rahman's work in motion event recognition and video synchronization showcases his commitment to innovation. His contributions have the potential to significantly impact various industries by enhancing the way motion data is captured and analyzed.