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SBIR Phase I:A computer vision system for calorie tracking to encourage adherence to customized weight-loss regimens

Award Information
Agency: National Science Foundation
Branch: N/A
Contract: 2136886
Agency Tracking Number: 2136886
Amount: $252,370.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DH
Solicitation Number: NSF 21-562
Timeline
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-01-15
Award End Date (Contract End Date): 2022-12-31
Small Business Information
1924 WILDWOOD RIDGE DR
MISSOURI CITY, TX 77489
United States
DUNS: 080700022
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 Kehlin Swain
 (281) 989-1508
 kehlin.swain@xplosionlive.com
Business Contact
 Kehlin Swain
Phone: (281) 989-1508
Email: kehlin.swain@xplosionlive.com
Research Institution
N/A
Abstract

The broader impact/commercial potential of this Small Business Innovation Research Phase I project is to help the 60% of the 21 million African American women in the US who are overweight or obese, increasing their risk for diabetes and cardiovascular disease in greater severity than the general population.This project overcomes barriers to weight management in African American women through its customized data library. The proposed automated food tracker is combined with a social network function to incentivize new users to engage with the application. These features provide a powerful tool for the user to achieve a healthy body mass index and maintain health over a lifetime.The proposed project is a mobile weight-loss management application to help African American manage diet and track physical activity. It helps women build their knowledge of proper nutrition and follow a healthy lifestyle, thereby improving adherence rates for diet and exercise regimens. The application's innovation is to automate the tracking of food intake from the users with image recognition and machine learning algorithms. This innovation creates a unique data set for foods common in the African American community, labeling the carbohydrates, calories, proteins, fats, and serving size.This automatic process provides a framework that eliminates the barriers created by the manual calculations that current solutions require. Furthermore, it will incorporate a game-like interface to increase engagement for better long-term weight management outcomes.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

* Information listed above is at the time of submission. *

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