Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Big data analytics for stimulation and response models in gaming and virtual training simulations
FY 2013-14
Summary
IFTech is an IT R&D company with a business focus on the design and commercialization of ARAIG which is a sensory immersive wearable technology designed to provide sensory signatures to the wearer. ARAIG is the first multi-sensory multidirectional, force feedback device. ARAIG interacts with the user to increase their immersion based on the situation and/or interactions occurring within a range of media environments. The media environment, activities and interaction taking place in the virtual world, will translate into tangible sensory stimulations. The user becomes more aware of the virtual world through his or her heightened sensitivity. ARAIG's consumer markets consist of the Entertainment Industry (video games and movies), serious games and simulations (military, police, firefighter, etc.), medical (rehabilitation, monitoring, etc.) and augmented awareness (eg hazardous environments, etc.). ARAIG's initial target markets are the video games and serious games and simulations industries. At present, IFTech lack expertise in Big Data analytics and knowledge discovery to create a framework to support the analysis of the sensor signals sent to the wearer together with the analysis of sensor signals measuring the physiological response to enable them to create robust result metrics to demonstrate the improved engagement within either the recreational game or serious game by the participant. Creating a framework to support Big Data analytics of sensor data when used both in the recreational game setting as well as the serious game setting for military and law enforcement tactical training represents an innovative technique that will greatly enhance the competitiveness of ARAIG. Within this NSERC ENGAGE we propose to create extensions to ARAIG to support the extraction of the sensor stimulation for real-time analysis. We further propose to create new Big Data methods for modelling sense and response performance metrics and to create a real-word model of stimulation and response models consistent with physiological response patterns from the military tactical setting and military gaming scenarios such as those relating to stress and fatigue.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
461759-2013
Name nom
McGregor, Carolyn
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2013
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
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
2713
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Algorithms
Research subject fr
Algorithmes
Partie
1
Nb partie
1
Application title
Big data analytics for stimulation and response models in gaming and virtual training simulations
Keyword
NSERC
Application summary
IFTech is an IT R&D company with a business focus on the design and commercialization of ARAIG which is a sensory immersive wearable technology designed to provide sensory signatures to the wearer. ARAIG is the first multi-sensory multidirectional, force feedback device. ARAIG interacts with the user to increase their immersion based on the situation and/or interactions occurring within a range of media environments. The media environment, activities and interaction taking place in the virtual world, will translate into tangible sensory stimulations. The user becomes more aware of the virtual world through his or her heightened sensitivity. ARAIG's consumer markets consist of the Entertainment Industry (video games and movies), serious games and simulations (military, police, firefighter, etc.), medical (rehabilitation, monitoring, etc.) and augmented awareness (eg hazardous environments, etc.). ARAIG's initial target markets are the video games and serious games and simulations industries. At present, IFTech lack expertise in Big Data analytics and knowledge discovery to create a framework to support the analysis of the sensor signals sent to the wearer together with the analysis of sensor signals measuring the physiological response to enable them to create robust result metrics to demonstrate the improved engagement within either the recreational game or serious game by the participant. Creating a framework to support Big Data analytics of sensor data when used both in the recreational game setting as well as the serious game setting for military and law enforcement tactical training represents an innovative technique that will greatly enhance the competitiveness of ARAIG. Within this NSERC ENGAGE we propose to create extensions to ARAIG to support the extraction of the sensor stimulation for real-time analysis. We further propose to create new Big Data methods for modelling sense and response performance metrics and to create a real-word model of stimulation and response models consistent with physiological response patterns from the military tactical setting and military gaming scenarios such as those relating to stress and fatigue.
