Databases Reference
In-Depth Information
Figure 5: The partita database cube
As partitas have a common general structure and operate independently on separate
components of motion, we can use the same method to examine all of them. Indeed, the
partita examination aims to detect
motion patterns
. For this purpose there is an advantage
to using partitas over the 9-bit motion byte, because they make it relatively easy to detect
repeating structures. These repeating structures are called
measures
in our model.
As already noted, each partita is made up of bit fi les (rows of three bits). When a
certain bit fi le is repeated over the time axis of a certain link (for example: 001 001 001) it
can represent a relevant movement related to the certain link. This is called an
elementary
measure
.
Similarly, a certain array of bit fi les, that is, the relevant links of a given limb (or its link
to the whole body) may repeat over the time axis, representing motion using a
motion pattern.
This is called a
composedmeasure
. We can relate to a partita as a collection of measures,
with no necessity for symmetry in the occurrence of measures in different partitas.
Figure 6 demonstrates the partita of a limb composed of two links (i & j), where:
Motion of link i contains fi ve elementary measures (letters A - E).
•
Motion of link j contains seven elementary measures (numerals I - VII).
•
The lowest “common denominator” of the fi ve elementary measures of link i and the
seven elementary measures of link j represents the composed measures of the two
links. These composed measures are denoted by the numerals 1 - 10, where:
• A continuous vertical line, at a link's row, represents an
edge
between two elementary
measures.
• A vertical line, across the rows of the two links (whether a continuous or a broken
line), represents an edge between composed measures.
Figure 7 illustrates a partita of a limb composed of two links — forearm and arm, that
perform the same movement as that demonstrated in Figure 4, line
IV
, where:
IV
, where:
