Aiming at the demand of cognitive load measurement in the human-computer interaction, the influence of different cognitive load levels on the EEG signals is studied. By designing the human-computer interaction experiment, this study investigates the effects of 3 kinds of cognitive load levels (Low, Medium and High) on EEG signals caused by 3 different factors(task complexity, time pressure and environmental disturbance). The results indicate that there are significant differences about EEG activity on different cognitive workload levels, while Theta and Alpha waves are more sensitive to changes in cognitive load. It is also found that the EEG activities on different levels of cognitive load caused by 3 different factors have similarities and differences, the change of cognitive load caused by "environmental disturbance" is obviously different from that of the other 2 factors. The results have reference value for the design and development of new interactive technologies such as intelligent human-computer interface.

This paper introduces a new "assist-as-needed" (AAN) training paradigm for rehabilitation of spinal cord injuries via robotic training devices. In the pilot study reported in this paper, nine female adult Swiss-Webster mice were divided into three groups, each experiencing a different robotic training control strategy: a fixed training trajectory (fixed group, A), an AAN training method without interlimb coordination (Band Group, B), and an AAN training method with bilateral hind-limb coordination (Window Group, C). Fourteen days after complete transection at the mid-thoracic level, the mice were robotically trained to step in the presence of an acutely administered serotonin agonist, quipazine, for a period of six weeks. The mice that received AAN training (Groups B and C) show higher levels of recovery than Group A mice, as measured by the number, consistency, and periodicity of steps realized during testing sessions. Group C displays a higher incidence of alternating stepping than Group B. These results indicate that this training approach may be more effective than fixed trajectory paradigms in promoting robust post-injury stepping behavior. Furthermore, the constraint of interlimb coordination appears to be an important contribution to successful training

This paper describes an experimental fixturing system wherein fixel reaction forces, workpiece loading, and workpiece displacements are measured during simulated fixturing operations. The system's configuration, its measurement principles, and tests to characterize its performance are summarized. This system is used to experimentally determine the relationship between workpiece displacement and variations in fixel preload force or workpiece loading. We compare the results against standard theories, and conclude that commonly used linear spring models do not accurately predict workpiece displacements, while a non-linear compliance model provides better predictive behavior.