Grant: Idea to Innovation
University of Western Ontario
$125,000.00
Recognition of multiple food, exercise and nutrition labels in glucoguide: phase IIa
FY 2015-16
Summary
Diabetes is a chronic disease with many complications including heart attack, stroke, amputations and blindness. Self-management of blood glucose and improving lifestyle are very important to prevent complications, but it is a very difficult task. Mobile apps for diabetes tracking are increasingly available, but they can still be difficult to use - especially entering diet and exercise along with blood sugar and figuring out how to change diet and exercise to properly manage blood sugar. Therefore, we have been researching and developing GlucoGuide - an app that data-mines inputted diet and exercise data to give individual feedback and recommendations to help manage and reverse diabetes.
This Phase IIa research and development project is a continuation of our Phase I I2I project (July 2014-July 2015) on GlucoGuide with promising results. Due to our achievements, we have secured early stage Angel Investment to our technologies, and the investor has put aside $70,000 specially to match this grant proposal.
Continuing on our Phase I research and development, we will develop further analytic algorithms (including deep learning) to recognize food, multiple food combination, food nutrition label, barcode scanning and exercise equipment using the smartphone's camera. With simply taking a picture of meals, nutrition labels, and exercise equipment, users will be able to receive targeted recommendations to help manage their blood glucose better.
This proposed research will significantly improve the usability of GlucoGuide, allowing for commercialization. The GlucoGuide Apps and system will benefit patients with pre-diabetes and diabetes, and overall, help to reduce the burden and cost on the healthcare systems in Canada and wrold.
Program
Idea to Innovation
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
486869-2015
Name nom
Ling, Charles
Department département
Computer Science
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
125000
Program id
I2IPJ
Program name en
Idea to Innovation
Program name fr
De l'idée à l'innovation
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2705
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Software and development
Research subject fr
Logiciels et développement
Partie
1
Nb partie
1
Application title
Recognition of multiple food, exercise and nutrition labels in glucoguide: phase IIa
Keyword
NSERC
Application summary
Diabetes is a chronic disease with many complications including heart attack, stroke, amputations and blindness. Self-management of blood glucose and improving lifestyle are very important to prevent complications, but it is a very difficult task. Mobile apps for diabetes tracking are increasingly available, but they can still be difficult to use - especially entering diet and exercise along with blood sugar and figuring out how to change diet and exercise to properly manage blood sugar. Therefore, we have been researching and developing GlucoGuide - an app that data-mines inputted diet and exercise data to give individual feedback and recommendations to help manage and reverse diabetes.
This Phase IIa research and development project is a continuation of our Phase I I2I project (July 2014-July 2015) on GlucoGuide with promising results. Due to our achievements, we have secured early stage Angel Investment to our technologies, and the investor has put aside $70,000 specially to match this grant proposal.
Continuing on our Phase I research and development, we will develop further analytic algorithms (including deep learning) to recognize food, multiple food combination, food nutrition label, barcode scanning and exercise equipment using the smartphone's camera. With simply taking a picture of meals, nutrition labels, and exercise equipment, users will be able to receive targeted recommendations to help manage their blood glucose better.
This proposed research will significantly improve the usability of GlucoGuide, allowing for commercialization. The GlucoGuide Apps and system will benefit patients with pre-diabetes and diabetes, and overall, help to reduce the burden and cost on the healthcare systems in Canada and wrold.