Grant: Applied Research and Development Grants - Level 1
Sheridan Institute of Technology and Advanced Learning
$25,000.00
AR/VR Immersive Applications in Healthcare
FY 2019-20
Summary
Augmented reality (AR) applications using smart glasses for Health represent a significant area of growth in mobile computing and AI development as applications and demand for wearable health-related devices expand rapidly. The proposed research collaboration between Sheridan and Toronto's Dapasoft will focus on R&D of an AR tele-assistant system for smart glasses. The system will assist elderly people with awareness and prevention of falls while walking by employing fall detection and danger awareness using AR technologies and a virtual map of the user's surroundings for navigation guidance in real time. An advisory virtual assistant, controlled by remote medical professionals over an internet connection, will be included as one of the main features. A real world scene of the user's surroundings will be collected by smart glasses and sent to a remote computer for real time monitoring by healthcare workers who can make correct care/advice decisions remotely. The virtual assistant can be considered an ""auto-assistant"" that will provide assistance related to vision enhancement, navigation guidance and knowledge acquisition/decision making for elderly people. The assistant will also provide companionship to help mitigate social isolation, provide healthy lifestyle information, and will be designed to support users' self-confidence and security, especially with medical issues.
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
544444-2019
Name nom
England, Andrea
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
2019
Competition year année de concours
2019
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
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2600
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotics
Research subject fr
Robotique
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
AR/VR Immersive Applications in Healthcare
Keyword
NSERC
Application summary
Augmented reality (AR) applications using smart glasses for Health represent a significant area of growth in mobile computing and AI development as applications and demand for wearable health-related devices expand rapidly. The proposed research collaboration between Sheridan and Toronto's Dapasoft will focus on R&D of an AR tele-assistant system for smart glasses. The system will assist elderly people with awareness and prevention of falls while walking by employing fall detection and danger awareness using AR technologies and a virtual map of the user's surroundings for navigation guidance in real time. An advisory virtual assistant, controlled by remote medical professionals over an internet connection, will be included as one of the main features. A real world scene of the user's surroundings will be collected by smart glasses and sent to a remote computer for real time monitoring by healthcare workers who can make correct care/advice decisions remotely. The virtual assistant can be considered an ""auto-assistant"" that will provide assistance related to vision enhancement, navigation guidance and knowledge acquisition/decision making for elderly people. The assistant will also provide companionship to help mitigate social isolation, provide healthy lifestyle information, and will be designed to support users' self-confidence and security, especially with medical issues.