Grant: Strategic Projects - Group
University of Manitoba
$135,150.00
Interactive and Visual Analysis Tools for Activity Monitoring Data
EF 2012-13
Résumé
Tracking daily activities has numerous benefits. For example, in a hospital, locating equipment is vital for clinical interventions, but today can occupy upto 20% of medical personnel time, with significant costs to hospitals to compensate for untraceable or unauthorized movements of equipment. Other contexts, for example, have related needs for tracking the evacuations of personnel in a nuclear facility, factory or airport, or for planning navigation routes based on daily traffic patterns. Critical decisions are constantly being made based on data from monitored activity through sensor networks. These physically distributed sensors, generate vast amounts of data, only a small fraction of which is turned into knowledge.
We will develop analytic tools for exploring, visualizing, and examining sensor network data, which is largely spatio-temporal. With the exception of a few commercial products (such as GeoTime, by our industrial partner Oculus), there exist very limited tools for querying and analyzing data that is both spatial and temporal. We possess even fewer tools that allow analytic exploration in mobile contexts, or in collaborative settings. We will develop novel software tools and technologies to tightly integrate user interactivity for complex spatio-temporal analysis such as that generated by sensor networks. With our tools analysts will have access to information, in a number of critical contexts, such as in mobile and collaborative settings. Our work will open entirely new research areas in visual analytics, namely ""mobile"" and ""immersive"" analytics.
The realized benefits to Canada and to our partners will be significant. Activity monitoring, including that from our partners' products, generates vast amounts of data. Being able to sieve out and present key information is crucial for decision makers, who work collaboratively and in unpredictable environments. Our results will provide the appropriate tools for such activities, making us leaders in a field of growing importance.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
413145-2011
Name nom
Irani, Pourang
Department département
Computer Science
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2012
Competition year année de concours
2011
Award amount
135150
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1567
Committee name en
Strategic Projects Selection Panel - ICT
Committee name fr
Comité de sélection des projets stratégiques - ICT
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
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
2
Nb partie
3
Application title
Interactive and Visual Analysis Tools for Activity Monitoring Data
Keyword
NSERC
Application summary
Tracking daily activities has numerous benefits. For example, in a hospital, locating equipment is vital for clinical interventions, but today can occupy upto 20% of medical personnel time, with significant costs to hospitals to compensate for untraceable or unauthorized movements of equipment. Other contexts, for example, have related needs for tracking the evacuations of personnel in a nuclear facility, factory or airport, or for planning navigation routes based on daily traffic patterns. Critical decisions are constantly being made based on data from monitored activity through sensor networks. These physically distributed sensors, generate vast amounts of data, only a small fraction of which is turned into knowledge.
We will develop analytic tools for exploring, visualizing, and examining sensor network data, which is largely spatio-temporal. With the exception of a few commercial products (such as GeoTime, by our industrial partner Oculus), there exist very limited tools for querying and analyzing data that is both spatial and temporal. We possess even fewer tools that allow analytic exploration in mobile contexts, or in collaborative settings. We will develop novel software tools and technologies to tightly integrate user interactivity for complex spatio-temporal analysis such as that generated by sensor networks. With our tools analysts will have access to information, in a number of critical contexts, such as in mobile and collaborative settings. Our work will open entirely new research areas in visual analytics, namely ""mobile"" and ""immersive"" analytics.
The realized benefits to Canada and to our partners will be significant. Activity monitoring, including that from our partners' products, generates vast amounts of data. Being able to sieve out and present key information is crucial for decision makers, who work collaboratively and in unpredictable environments. Our results will provide the appropriate tools for such activities, making us leaders in a field of growing importance.
