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Grant: Applied Research and Development Grants - Level 1

Sheridan Institute of Technology and Advanced Learning

$25,000.00

Apps for Health Research using Mobile Wearable Devices

FY 2015-16

Summary
An area of significant growth in mobile computing is location-awareness and wearable devices. Virtually all companies now employ the use of mobile devices in some fashion or another and the growth in the wearable device market is exploding. However, despite the rapid growth and recent success MindrMobile has had, there are many applied research problems yet to be solved. This research proposal involves collaboration between Sheridan and MindrMobile to develop innovative solutions for mobile devices in the area of smart interactions, context-aware mobile apps, micro-location technologies (iBeacons), and wearable devices. The Sheridan team, in collaboration with MindrMobile, proposes to design and develop two prototypes: 1. Mobile devices and iBeacons: In this project, we will create a mobile app and a multi-tier computer system that monitors the routes and activities that security guards undergo daily. 2. Apple Watch and Senior Support: This research will involve exploring the data available collectively from the Apple Watch and iPhone to provide an algorithm to make probabilistic inferences on the well being of the wearer (e.g., the user falls and can't get up or is unconscious). The information from the Apple Watch includes: heart rate, accelerometer, microphone and haptic responses. Together with the instrumentation on the iPhone (e.g., GPS, health data), the research will focus on developing an algorithm to make accurate predictions.
Program
Applied Research and Development Grants - Level 1
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
485822-2015
Name nom
Gillett, Cindy
Department département
Head Office
Organization id
22156
Institution établissement
Sheridan Institute of Technology and Advanced Learning
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
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
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
Apps for Health Research using Mobile Wearable Devices
Keyword
NSERC
Application summary
An area of significant growth in mobile computing is location-awareness and wearable devices. Virtually all companies now employ the use of mobile devices in some fashion or another and the growth in the wearable device market is exploding. However, despite the rapid growth and recent success MindrMobile has had, there are many applied research problems yet to be solved. This research proposal involves collaboration between Sheridan and MindrMobile to develop innovative solutions for mobile devices in the area of smart interactions, context-aware mobile apps, micro-location technologies (iBeacons), and wearable devices. The Sheridan team, in collaboration with MindrMobile, proposes to design and develop two prototypes: 1. Mobile devices and iBeacons: In this project, we will create a mobile app and a multi-tier computer system that monitors the routes and activities that security guards undergo daily. 2. Apple Watch and Senior Support: This research will involve exploring the data available collectively from the Apple Watch and iPhone to provide an algorithm to make probabilistic inferences on the well being of the wearer (e.g., the user falls and can't get up or is unconscious). The information from the Apple Watch includes: heart rate, accelerometer, microphone and haptic responses. Together with the instrumentation on the iPhone (e.g., GPS, health data), the research will focus on developing an algorithm to make accurate predictions.