This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2017.
Company Filing History:
Years Active: 2017
Title: Vikas Madan: Innovator in Mobile Gesture Technology
Introduction
Vikas Madan is a prominent inventor based in San Mateo, CA (US). He has made significant contributions to the field of mobile gesture technology, holding 2 patents that enhance user interaction with touchscreen devices. His work focuses on improving the accuracy and responsiveness of gesture recognition systems.
Latest Patents
One of Vikas Madan's latest patents is titled "Mobile gesture reporting and replay with unresponsive gestures identification and analysis." This innovative technology captures touch events from the operating system of a client device during touch actions on a touchscreen. The captured touch events are interpreted as gestures, and any application events in response to these gestures are recorded. The system compares the given gesture and the corresponding application event against an expected application event. If there is a match, the gesture is identified as responsive; if not, it is deemed non-responsive. The gesture information, application event, and screen layout at the time of the gesture are sent to a service that replays the gesture and generates a report.
Career Highlights
Vikas Madan is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to work on cutting-edge technologies that shape the future of mobile interactions. His expertise in gesture technology has positioned him as a key player in the industry.
Collaborations
Throughout his career, Vikas has collaborated with talented individuals such as Omar Hernandez and Sukhbir Singh. These collaborations have fostered innovation and contributed to the development of advanced technologies in the field.
Conclusion
Vikas Madan is a notable inventor whose work in mobile gesture technology is paving the way for more intuitive user experiences. His patents reflect a deep understanding of gesture recognition and its applications in modern technology.
