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Chapter 2. Prehension

Chapter 2. Prehension

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344 CONSTRAINTS AND PHASES<br />

scientific visualization and human hand animation. The role of vision<br />

and haptics will be critical for applications to virtual reality. For<br />

engineers, challenges exist for telerobotics and telemanipulation. For<br />

the medical professions, understanding the normal hand is relevant for<br />

applications to rehabilitation, surgery and microsurgery, functional<br />

electrical stimulation, hand therapy, and prosthetics.<br />

9.4 Summary<br />

What do hands do? The human hand interacts with the world in<br />

complex ways. When an object is grasped, it is not only grasped for<br />

itself; it is grasped for a reason. A person grasps an object to do<br />

something with it. Because we generally use our one dominant hand<br />

to perform this task with this given object, we feel that our hands and<br />

arms are always doing the same thing--reaching to grasp the object.<br />

However, the data explored in this book show that, depending on the<br />

task and object, there seem to be different control mechanisms. For<br />

pointing, which is a task performed in free space and basically with<br />

our arm, one controller is used. For grasping a pen to write with it,<br />

which is an oscillatory task that involves first a free space movement<br />

and then the grasp, lift, and oscillations, another controller is used.<br />

For grasping the pen to hand it to someone, a third controller is used.<br />

It is, as Greene (1972) said, as if we had a collection of virtual arms.<br />

Our brains are complex systems, containing many redundancies.<br />

While the motoneurons are final common pathways on the way to our<br />

hands, many parallel systems are involved in selecting the right<br />

combination of control strategies to allow us to perform sophisticated,<br />

versatile, goal-directed behaviors. Evolutionary specializations have<br />

enhanced the human hand’s ability (through control by the CNS) to<br />

perform a wide variety of prehensile tasks, equipping the hand as both<br />

a precision and power device. Within the complex interaction of<br />

physical constraints, active and passive sensorimotor features, goals<br />

and motivations, prehensile postures are chosen that will apply<br />

functionally effective forces to an object. The term ‘functionally<br />

effective’ is used in order to make explicit the notion of task goals<br />

(i.e., applying forces, imparting motions, gathering sensory<br />

information), creating constraints on the methods by which a human<br />

hand is shaped into a force-applying and sensory-gathering posture.<br />

The opposition space model focuses on human hand functionality<br />

in terms of task requirements and explicit parameters. By comparing<br />

hand functionality and task requirements, the effectiveness of a<br />

posture can be determined for a given task. The model avoids the

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