27.12.2012 Views

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

moments of inertia or eigenvalues which map on to perceived object magnitudes (such<br />

as length and weight). The other consists of the principal directions or eigenvectors,<br />

which map on to perceived relations between the hand and the object (such as position<br />

of grasp). The interaction between said processes of “dynamic touch” is acknowledged<br />

to play an important role in the adjustment of movement from the originally conceived<br />

cognitive “framework”.<br />

The main focus of our investigation is the identification and solution of<br />

meaningful eigenvalue problems for spatial inertia tensor(s) that are associated with<br />

proprioceptive invariants during the downswing. The first aim of the present study was<br />

to clarify this issue in terms of a new set of eigenvalue problems. Essentially, we<br />

attempted, a mechanical characterization of the connection between the inertial tensor<br />

and dynamic touch via the spatial (free- and line-) vector components that are engaged<br />

and responsive for such proprioceptive invariants. We then applied both the free-vector<br />

and line-vector eigenvalue problem to the spatial inertia tensor of a golf club with hand<br />

grasping. It has been suggested that the collection of all information variables relevant<br />

to perception and action in some task can be represented on a low-dimensional simple<br />

form or manifold [5]. We deal with manifolds that are coordinate-invariant in Euclidean<br />

space albeit represented in the coordinates that we have chosen. We chose the club’s<br />

Instantaneous Screw Axes (ISA)[6-7] and principal moment of inertia axes (e3) [8] and<br />

used their instantaneous successive locations during swing as generating manifolds for<br />

the perception to action diagram.<br />

The second aim of our study was to apply the perception to action diagram that<br />

we obtained, in the sense of dynamic touch paradigm to the role of perceptual learning<br />

in the golf swing, i.e. movement across the information manifold of perception and<br />

action.<br />

Our working hypothesis was that a more skilled performer would exhibit a<br />

stronger relationship between e3 and ISA. We therefore explored the influence of<br />

perception on skill level, by comparing the perception to action diagrams of—a high<br />

handicap player swing and a low handicap player swing. The implication of these<br />

finding in conjunction with the functioning of the ‘flat left wrist’ are discussed.<br />

3. METHODOLOGY<br />

We developed a representation of spatial vector quantities that are relevant to the<br />

action of the golf swing, using screw theory [9] to represent a directed line in space. It<br />

has long been known that Instantaneous Screw Axes (ISA) are fundamental to the<br />

description of a rigid body motion. The instantaneous motion of the club may be<br />

considered to be rotating about the ISA. It is important that the general motion of the<br />

perceiver’s action towards his/her perceived orientation of the hand-held club be such,<br />

that it can be characterized by the ISA of the club. Said ISA is considered as the sum of<br />

contributions of all the joints and muscles that are involved during the golf swing (i.e.<br />

not only those that influenced by the wrist action). Line coordinates (or Plücker<br />

Coordinates) [10] were extended here to describe screw motion (i.e. rotation with<br />

translation) and thus to locate screw surfaces in terms of the set of ISA.<br />

As we indicated in the introduction of this paper, the eigen structure of the<br />

spatial inertia tensor as a proprioceptive invariant in motor control and learning has not<br />

been fully explained. Since dynamic touch paradigm is based on the detection of<br />

deviation from (normally) established patterns [2], in this study it is thought to be<br />

analogous to the error covariance tensor that is encountered in estimation theory for<br />

linear system[11]. Note that the spatial inertia tensor summarized the inertia and mass

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!