Practical determination of physical recovery after intense exercise is a challenging topic that must include mechanical aspects as well as cognitive ones because most of physical sport activities, as well as professional activities (including brain–computer interface-operated systems), require good shape in both of them. This paper presents a new online handwritten database of 20 healthy subjects. The main goal was to study the influence of several physical exercise stimuli in different handwritten tasks and to evaluate the recovery after strenuous exercise. To this aim, they performed different handwritten tasks before and after physical exercise as well as other measurements such as metabolic and mechanical fatigue assessment. Experimental results showed that although a fast mechanical recovery happens and can be measured by lactate concentrations and mechanical fatigue, this is not the case when cognitive effort is required. Handwriting analysis revealed that statistical differences exist on handwriting performance even after lactate concentration and mechanical assessment recovery. This points out a necessity of more recovering time in sport and professional activities than those measured in classic ways.
In this paper we present a connection setup to operate a collaborative robot (cobot) Omron TM5-700 by means of a Tobii Pro X2-30 eye-tracker. The application has been designed with the software OMRON TMFlow as well as the Tobii SDK (software development kit). The possibility to operate a collaborative robot by gaze can be used as a third arm, which permits to do more sophisticated activities by human beings but it can also facilitate the manipulation of dangerous or perilous substances, or in unsafe environments where the human being can stay far away of the dangerous area. It can be very useful for a plenty of safety and security applications. To demonstrate the correct operation of the cobot control application, we have implemented a practical demo and experimental setup. It consists of accuracy measurements, where the control of the position of the cobot is be defined by means of gaze, which defines a set of points in (X, Y) plane. Later on, the robot picks up an ink-pen and draw a graph in a piece of paper. This drawing consists of connecting these pre-defined dots by straights lines. To this aim, we have acquired a set of figures (parallelogram, pentagon, etc.), and compared the desired printed image on PC screen with the result produced by the cobot.
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