Grant: Discovery Grants Program - Individual
University of British Columbia
$85,000.00
Computational Models of Humans
FY 2018-19
Summary
My long term goal is to create useful computational models of how humans move and physically interact with their environment. The focus is not on black-box modeling of movement data. Rather, it is on modeling the underlying system itself, as a biological machine: the motors (muscles), sensors (esp. mechanoreceptors in muscle and skin), structures (skeleton and connective tissues), and software (neural control). By modeling the underlying sensorimotor system we could achieve better generalization to novel situations and gain fundamental insights into biological principles. In the near term, we could create more believable computer animations of human characters.*Specifically, I propose to focus on the following.*(1) EULERIAN SOFT TISSUE SIMULATION. Eulerian discretization has shown great promise in my previous work, but constitutes a radical departure from the standard Lagrangian approach. I will systematically explore its strengths and limitations, and identify the significant advantages that could make it the future standard for soft tissue simulation.*(2) REALISTIC SKIN MODEL. It is not sufficient to have good algorithms; a model must also reflect real human physiology. My goal is to develop a simulation-ready structural and statistical model of the mechanical behavior of real human skin, based on in vivo measurements.*(3) HAND SYSTEM. Modeling the hand as a sensorimotor system with many interacting parts will provide deep insights into why it is so effective. I will focus on the hand since it is our primary effector for interacting with the physical world (including computers) and the key role of skin and soft tissues in hand function. *Such virtual human models are required in an enormous range of applications. A central goal of computer animation is the synthesis of human characters interacting with their environment. Realistic models of human movement are also important in biomechanics, neuroscience, and medicine, and could lead to new robot designs based on biological principles.*Students and postdoctoral trainees are involved in all aspects of this research, and will acquire a broad range of skills in an interdisciplinary environment, including development of advanced simulation software systems, measurement and analysis of human soft tissues with world class instrumentation, biomechanics, and computer graphics.
Program
Discovery Grants Program - Individual
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-04604
Name nom
Pai, Dinesh
Department département
Computer Science
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2018
Competition year année de concours
2017
Award amount
85000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
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
2707
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Graphics
Research subject fr
Infographie
Partie
2
Nb partie
5
Application title
Computational Models of Humans
Keyword
NSERC
Application summary
My long term goal is to create useful computational models of how humans move and physically interact with their environment. The focus is not on black-box modeling of movement data. Rather, it is on modeling the underlying system itself, as a biological machine: the motors (muscles), sensors (esp. mechanoreceptors in muscle and skin), structures (skeleton and connective tissues), and software (neural control). By modeling the underlying sensorimotor system we could achieve better generalization to novel situations and gain fundamental insights into biological principles. In the near term, we could create more believable computer animations of human characters.*Specifically, I propose to focus on the following.*(1) EULERIAN SOFT TISSUE SIMULATION. Eulerian discretization has shown great promise in my previous work, but constitutes a radical departure from the standard Lagrangian approach. I will systematically explore its strengths and limitations, and identify the significant advantages that could make it the future standard for soft tissue simulation.*(2) REALISTIC SKIN MODEL. It is not sufficient to have good algorithms; a model must also reflect real human physiology. My goal is to develop a simulation-ready structural and statistical model of the mechanical behavior of real human skin, based on in vivo measurements.*(3) HAND SYSTEM. Modeling the hand as a sensorimotor system with many interacting parts will provide deep insights into why it is so effective. I will focus on the hand since it is our primary effector for interacting with the physical world (including computers) and the key role of skin and soft tissues in hand function. *Such virtual human models are required in an enormous range of applications. A central goal of computer animation is the synthesis of human characters interacting with their environment. Realistic models of human movement are also important in biomechanics, neuroscience, and medicine, and could lead to new robot designs based on biological principles.*Students and postdoctoral trainees are involved in all aspects of this research, and will acquire a broad range of skills in an interdisciplinary environment, including development of advanced simulation software systems, measurement and analysis of human soft tissues with world class instrumentation, biomechanics, and computer graphics.