The surface changes of the back trunk are caused by the extensive upper limb movements, thus, it is necessary to keep hold of the movements and to measure the amount of changes for constructing the clothing. The moirè topography photographs are taken of eleven female subjects in limb resting position and thirteen limb movements.
1) The differences of body types are recorded by the moirè contour pattern in limb resting position, and they are classified to three types from the characteristics of the shoulder region.
2) The contour peaks are influenced by the movements of the scapula and the highest points move from the angulus inferior to the angulus superior.
3) The most remarkable change is observed around the armpit which alters in the forward and upward movements.

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The present paper proposes a simple evaluation method of linear hand movement by means of the ratio p of minimum and maximum acceleration of the movement. Linear hand movements, i. e., jerk, acceleration, velocity and displacement, can be described by the proposed experimental formula having four parameters as a function of time τ. The parameters in the formula unified by a parameter named Smooth Number (S. N.) of linear hand movement. The Number can be estimated by means of a computer based on experimental acceleration data for the movement, but the estimation takes fairly long time for sampling of the data and the culcalation unless the data processing is computerized. Since over thousand S. N. have already estimated for many subjects, under various conditions of movement such as distances of excursion, position accuracy and carrying masses, the S. N. can be related by a simple equation with an exponential function of p. The S. N. 's of eight subjects under the various conditions and that of four subjects for thirty-days' learning of the movement are determined by the equation. As the results, it can be shown that the Smooth Number is available for the classification and evaluation of linear hand movement.

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The human operator's dynamics was analyzed in controlling a second-order lag system, and was considered in terms of his ability to adapt his dynamics to the characteristics of the controlled element and the stability of the man-machine system. Human operator's describing functions showed that the operator adapted his dynamics in compensating for the change of the controlled element, and that the process of his adaptation to natural frequency (ω_n) differed from that to damping ratio (ζ). It became clear that the open-loop describing functions of the man-machine systems had the following three approximate forms; (1) the crossover model Y_0L(jω)=ω_ce^-jωτe/(jω) with an integral action, (2) the modified crossover model Y_0L(jω)=ω_ce^-jωτe/(jω) with an imperfect integral action, and (3) the first-order lag characteristics Y_0L(jω)=K_ce^-jωτe/(Tjω+1).

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The real time extraction system of EEG's specific information was reported in the earlier paper.
In this paper, two improvements were proposed to hasten the response of the previous system. The first one is to add a phase compensator to the loop filter in the PLL circuit, and the second one is to increase the number of the output pulse of the square wave converter to four times of that of the previous system by additional circuits.
The step response of the new system is experimentally ascertained to be much faster than that of the old one. Consequently, the performance of the system is improved.

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