THE MATRIXES DERIVED FROM THE BEHAVIOR OF AN INDIVIDUAL
We are not at the end of our troubles. We must, in yoga poses effect, construct some derived matrixes220 that will permit us to obtain a set of useful variables that can be extracted by a computer program from the basic matrixes. Here are a few derived variables that are currently being used:
1. Mobility: The software counts the number of position changes for each item of the body (in each column). It will, for example, count the number of times that there was a change in yoga poses the sagittal position of the hand. The derived matrix will then furnish this result for each subject and show that some individuals have moved their hands from high to low more often than others. It is also possible to generate compound variables, like knowing how many times there was a change in yoga poses at least one of the dimensions used to described the behavior of the hand, or how many times at least one item of the body moved.
2. Thickness: The software counts how many parts of the body change position simultaneously. For example, when an individual only moves his hands, the thickness of his behavior is 1; when he moves, at the same time, the hand + the head + a foot + his back, the thickness of his movement has a score of 4. The programs can register in yoga poses the derived matrix the average thickness of an individual’s mobility. A program may also provide a curve that shows the variations of thickness in yoga poses time. If I want to analyze an interaction between a therapist and a patient, I can ask the program to produce two curves: the variations in yoga poses the thickness of the gestures of the patient and the variations in yoga poses the thickness of the gestures of the therapist.
3. Complexity: The software counts, for each part of the body, how many dimensions of one part of the body are mobilized. in yoga poses the preceding section, I identified seven dimensions of the movement of the hand in yoga poses space (high/low, right/left, in yoga poses front/in back, etc.). When the movement of the hand is carried out in yoga poses a dimension (moving upward, for example), the movement has a complexity of 1. If in yoga poses moving the hand upward, the palm of the hand closes and turns toward the floor, the movement has three dimensions.
4. Time spent in yoga poses motion (TSM): The program computes how much time there is a movement in yoga poses a set of body items (e.g., the activity of the top of the body, of the hand, of the eyes, etc.).
5. Rhythm. This variable is defined as the computation of the average length of time between two actions. in yoga poses these studies, rhythm is defined less rigorously than in yoga poses music. It is defined as the average duration during which no movement occurs.
6. Individual contingencies: The correlations between the parts of the body of an individual. For example, the software allows one to discover that each time a person smiles, he moves the hand in yoga poses a certain way in yoga poses the minute following the smile.
7. Interpersonal contingencies: The correlations between the body parts of two individuals. For example, the software discovers that nearly every time that a patient smiles the therapist taps his fingers on the chair.
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