Company Filing History:
Years Active: 2017-2021
Title: Abhi Bhatt: Innovator in Activity Measurement Technologies
Introduction
Abhi Bhatt is a prominent inventor based in Austin, TX, known for his contributions to the field of activity measurement technologies. With a total of 6 patents to his name, Bhatt has developed innovative methods and apparatuses that enhance the accuracy and usability of activity data.
Latest Patents
One of Bhatt's latest patents is titled "Methods and apparatus for determining, recommending, and applying a calibration parameter for activity measurement." This invention provides a system for estimating and applying calibration parameters to collected activity data based on the user's physical aspects. It allows users to select their preferred calibration factors through an interactive display, particularly useful for activities like walking or running, where stride length is a key metric.
Another significant patent is focused on "Techniques for retrieving performance data from an exercise database." This invention outlines a method for storing and retrieving performance metrics from a database, enabling users to access relevant data that enhances their exercise performance. The server device matches performance data with corresponding metrics, ensuring that users receive accurate and useful information.
Career Highlights
Abhi Bhatt is currently employed at Under Armour, Inc., where he continues to innovate in the realm of fitness technology. His work at Under Armour has positioned him as a key player in developing solutions that improve user experience and data accuracy in activity tracking.
Collaborations
Bhatt collaborates with talented individuals such as Evan S. Torchin and Eric Boam, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Abhi Bhatt's contributions to activity measurement technologies reflect his commitment to enhancing user experience through innovative solutions. His patents not only demonstrate his expertise but also his dedication to improving the accuracy of activity data for users.