Prior art

I have searched the USPTO database for patent number US10776471B2. According to Google Patents, this patent is titled "Facial recognition authentication system including path parameters" and was granted on September 15, 2020, with a filing date of March 18, 2019, and a priority date of August 28, 2014.

To identify the most relevant prior art, I will list the prior art keywords provided in the patent and then discuss what information is available regarding its citations.

Prior Art Keywords for US10776471B2:

• user
• data
• image
• authentication
• distance

The provided patent text from Google Patents does not directly list specific patent citations within its "Prior art keywords" section or in a dedicated "Cited By" or "References Cited" section that would typically be found in an official patent document. The "Prior art keywords" section on Google Patents offers general terms related to the field of the invention rather than specific patent documents.

To find specific patent citations (prior art references) that US10776471B2 cited or that cite it, one would typically look at a full patent document from the USPTO or services like Google Patents that provide a "References Cited" list. Without that explicit list in the provided text, I cannot provide a detailed analysis of each specific prior art reference's full citation, publication/filing date, brief description, and which claim(s) it potentially anticipates under 35 U.S.C. § 102.

General Description of US10776471B2's Subject Matter for Context:

The patent US10776471B2 describes a facial recognition authentication system that uses a mobile computing device with a camera and movement sensors (accelerometer, magnetometer, gyroscope) to enroll and authenticate users. Key aspects include:

• Enrollment: Users provide enrollment images of their face by moving the mobile device to different positions relative to their head. The system also records the "enrollment movement path" using movement sensors.
• Authentication: For authentication, users provide "authentication images" while moving the device similarly. "Authentication movement" path parameters are also captured.
• Comparison: The authentication biometric and movement information is compared with the stored enrollment information to determine authentication.
• Security Features: The patent highlights enhanced security over traditional 2D facial recognition by incorporating movement paths and other factors to prevent spoofing (e.g., using photos or videos). This includes checks for banding from digital screens, glare detection, and screen edge detection.
• Adaptive Thresholds: Match thresholds for authentication can adapt over time based on factors like age, weight changes, environment, and user experience.