State Farm Mutual Automobile Insurance Company

Blueowl, LLC

Utku Pamuksuz

Michael L Bernico

Jeffrey S Myers

Edward W Breitweiser

Marigona Bokshi-Drotar

Dingchao Zhang

Peter Laube

Kenneth Jason Sanchez

Aaron Scott Chan

Yue Liu

Taylor Michael Thiel

Shashwat Gupta

Sanjiv Kumar

Harshit Agarwal

Pravita Tolanavar

Yuhao Zhou

Yuetong Xing

Keely Renwick

Abhinav Rai

Sripriya Sundararaman

Aditya Subramanian

Ben Blaisdell

A method and system may use computer vision techniques and machine learning analysis to automatically identify a user's biometric characteristics. A user's client computing device may capture a video of the user. Feature data and movement data may be extracted from the video and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.

Biometric characteristic application using audio/video analysis

A method and system may use machine learning analysis of audio data to automatically identify a user's biometric characteristics. A user's client computing device may capture audio of the user. Feature data may be extracted from the audio and applied to statistical models for determining several biometric characteristics. The determined biometric characteristic values may be used to identify individual health scores and the individual health scores may be combined to generate an overall health score and longevity metric. An indication of the user's biometric characteristics which may include the overall health score and longevity metric may be displayed on the user's client computing device.

Method and system for identifying biometric characteristics using machine learning techniques

Systems and methods for assessing vehicle operation are provided. According to certain aspects, an electronic device may receive and analyze image data depicting an individual located within a vehicle. The electronic device may also access and compile certain data related to an environment of the vehicle, and specifically to the vehicle's position relative to the sun. According to embodiments, the electronic device may determine, based on the accessed data, whether the vehicle is traveling into a direction of the sun, and may generate and record an indication of the same.

Systems and methods for assessing vehicle operation in a direction of sunlight

Systems and methods for assessing the movements of a driver while operating the vehicle are provided. According to certain aspects, an electronic device may receive and analyze image data from a 2-D image sensor and a 3-D image sensor, where the image data depicts an individual located within a vehicle. The electronic device may also access a library of baseline movements to which to compare the image data. Based on the comparing, the electronic device may identify and record a set of movements made by the driver.

Imaging analysis technology to assess movements of vehicle occupants

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Champaign, IL, United States of America

Utku Pamuksuz