This inventor holds 1 USPTO granted patent. Top assignee: University of California. Active years: 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: 2025
Title: Pranav Venuprasad: Innovator in Joint Attention Technology
Introduction
Pranav Venuprasad is an accomplished inventor based in Framingham, MA (US). He has made significant contributions to the field of technology, particularly in systems that characterize joint attention during real-world interactions. His innovative work has garnered attention and recognition in the academic and technological communities.
Latest Patents
Pranav holds a patent for "Systems and methods for characterizing joint attention during real world interaction." This patent includes systems, devices, and methods for characterizing joint attention. The method involves dynamically obtaining video streams of participants, gaze streams, and providing cues to participants to view specific objects. It also includes detecting joint gaze based on the gaze streams focusing on the object over a time interval and providing feedback based on the detection of joint gaze. He has 1 patent to his name.
Career Highlights
Pranav is affiliated with the University of California, where he continues to advance his research and development in joint attention technology. His work is pivotal in understanding how individuals interact and focus on objects in shared environments.
Collaborations
Pranav has collaborated with notable colleagues, including Andrew Gilman and Tushar Dobhal. Their combined expertise contributes to the innovative projects they undertake.
Conclusion
Pranav Venuprasad is a notable inventor whose work in joint attention technology is shaping the future of human interaction with technology. His contributions are significant and continue to influence the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
