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Grant: Discovery Grants Program - Individual

University of Western Ontario

$90,000.00

The Visual Control of Grasping

FY 2013-14

Summary
The human hand is a remarkable piece of engineering. As humans, we can reach out and grasp objects with exquisite accuracy - far better than any robot. One of the things that makes this possible is our keen sense of sight. Dr. Mel Goodale and his colleagues at the Centre for Brain and Mind at the University of Western Ontario are studying the different kinds of information that our visual system uses to guide the hand as it reaches out and grasps an object - and how previous experience with the object interacts with current visual information. To study how the hand is moving, Dr. Goodale uses special infra-red sensitive cameras to track tiny infra-red lights that have been attached to the fingertips, hand, and wrist. The data from these cameras can then be used to reconstruct the trajectory of the hand and fingers as the grasping movement unfolds. Previous work in Dr. Goodale's lab has shown that information from the two eyes - binocular vision - play an important role in the guidance of these movements. But there are other sources of information as well, including the motion of the world on our eyes as we move around and a whole host of cues called 'pictorial cues to depth'. These latter cues - perspective, familiar size, occlusion, shadows, and texture gradients - have been exploited by artists for centuries to depict a three-dimensional world on a two-dimensional canvas. Dr. Goodale and his team are exploring the role of all these different cues in the planning and control of grasping movements of the hand - and how these cues interact with previous experience and knowledge about the world. He is also looking at how we cope with visual illusions - and has already shown that illusions that deceive our eyes rarely fool our grasping hand! Recently, Dr. Goodale has begun to use brain imaging (functional magnetic resonance imaging, or fMRI) to explore how the brain computes the size of objects that we are trying to grasp. This work is not only providing basic information about how vision is used to control the human hand but is also helping in the design of better systems for controlling robot hands. This is not the first time that biology has provided engineering with some useful lessons in design.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
6313-2012
Name nom
Goodale, Melvyn
Department département
Psychology
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2012
Award amount
90000
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
1502
Committee name en
Biological Systems and Functions
Committee name fr
Systèmes et fonctions biologiques
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
6302
Research subject group en
Psychology
Research subject group fr
Psychologie
Research subject en
Sensory systems -- visual
Research subject fr
Systèmes sensoriels -- vue
Partie
2
Nb partie
5
Application title
The Visual Control of Grasping
Keyword
NSERC
Application summary
The human hand is a remarkable piece of engineering. As humans, we can reach out and grasp objects with exquisite accuracy - far better than any robot. One of the things that makes this possible is our keen sense of sight. Dr. Mel Goodale and his colleagues at the Centre for Brain and Mind at the University of Western Ontario are studying the different kinds of information that our visual system uses to guide the hand as it reaches out and grasps an object - and how previous experience with the object interacts with current visual information. To study how the hand is moving, Dr. Goodale uses special infra-red sensitive cameras to track tiny infra-red lights that have been attached to the fingertips, hand, and wrist. The data from these cameras can then be used to reconstruct the trajectory of the hand and fingers as the grasping movement unfolds. Previous work in Dr. Goodale's lab has shown that information from the two eyes - binocular vision - play an important role in the guidance of these movements. But there are other sources of information as well, including the motion of the world on our eyes as we move around and a whole host of cues called 'pictorial cues to depth'. These latter cues - perspective, familiar size, occlusion, shadows, and texture gradients - have been exploited by artists for centuries to depict a three-dimensional world on a two-dimensional canvas. Dr. Goodale and his team are exploring the role of all these different cues in the planning and control of grasping movements of the hand - and how these cues interact with previous experience and knowledge about the world. He is also looking at how we cope with visual illusions - and has already shown that illusions that deceive our eyes rarely fool our grasping hand! Recently, Dr. Goodale has begun to use brain imaging (functional magnetic resonance imaging, or fMRI) to explore how the brain computes the size of objects that we are trying to grasp. This work is not only providing basic information about how vision is used to control the human hand but is also helping in the design of better systems for controlling robot hands. This is not the first time that biology has provided engineering with some useful lessons in design.