Browsing by Author "Castillo Garcia, Javier Ferney"
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Item Desarrollo de una plataforma robótica para estimulación cognitiva y física en niños con discapacidad(Universidad Santiago de Cali, 2019) Murillo Penagos, Luis Carlos; Castillo Garcia, Javier FerneyThe problem inherent to the intervention of animals in therapies is associated with the risks involved in this interaction and the low capacity to make a quantitative assessment. The approach given to this problem is carried out using a robotic platform divided into three systems, integrating elements for motor, cognitive and sensory rehabilitation: The first consists of the emulation of the head and neck of the animal; the second system is the base, which allows emulating movements of rotation and translation of the back of the horse in the three axes; finally the system of the seat that in its inferior part calculates the vector of force relating the distribution of the weight of the child, while in the superior part the emulation of the temperature is made that varies from 38 ºC to 42 ºC depending on the speed of work, additionally the articular angles of the cervical region were registered, the thoracic cage, lumbar and the hip; evaluating the patient's posture, also incorporating a set of lights that make it easier to observe to which side the resulting force vector is directed, allowing him to modify his posture and improve his proprioception. This document is a proof of concept that deals with the use of a robotic rehabilitation platform that aims to help patients with motor sensory and cognitive disabilities can access a treatment option different from traditional hypotherapy, generating results that provide benefits, and at the same time a recovery and implementation of work plans that generate welfare in the health of the patient. The proposed robotic platform emulates the great advantages granted by horses, and measures and data can be accessed in real time. The system comprises an interaction of commands for the user, so that he can develop new psychomotor skills and abilities. The data obtained can serve as indicators for the differential evaluation of each patient, as well as the possibility of monitoring variables such as: Temperature, acceleration, joint angles and weight.Item Metodología para seguimiento de obra de infraestructura usando drone(Universidad Santiago de Cali, 2019) García Casierra, Cristian Benjamín; Calle Sánchez, Carlos Gustavo; Castillo Garcia, Javier FerneyThe process of monitoring a work of infrastructure allows to know the state of this, as well as the efficiency of the workers. The follow-up is a work carried out by the auditor, which sails so that the implemented corresponds with the design in planes, it takes a fulfillment in the budgeted one and also it complies with the established times. This work is done by using classical topography elements, which demands time and money, in addition, of the implications on the safety issue of non-construction personnel. To avoid this, this project implements a methodology capable of carrying out the task of monitoring a civil work. An unmanned aerial vehicle or drone is used, which are small remotely controlled flying devices that in recent years have become an extremely useful tool in activities that human beings cannot perform or that threaten its integrity. For the realization of this work is used a drone Quacopter Phantom 3 Standard, responsible for taking photographs, these are loaded in the software Agisoft Metashape Professional, which allows digital processing of images, generating 3D vision, cloud of dots, digital surface model and distance measurement. By obtaining this information, it is possible to make a match with the schedule of the work and to detect delays or advances in a precise way.Item Sistema domótico para la gestión de demanda de una vivienda autosostenible(Universidad Santiago de Cali, 2019) Suaza Cano, Kevin Andrés; Angulo Gamboa, Angel Stiven; Castillo Garcia, Javier FerneyA load characterization system was developed in an embedded platform, in order to identify electrical devices used in the home. For the characterization process, the most representative electrical parameters of the different loads were defined, which were used in the training of an artificial neural network implemented in an embedded platform with a network topology with the best performance in terms of computational resources, time of execution and percentage of error. The structure of the network used two hidden layers each with 10 neurons, obtaining an average error of 2.051% with a standard deviation of 1.23%. With the characterization of electrical charges, an intelligent home automation system could be created which can generate savings of up to 23% compared to traditional home automation systems or 69% savings compared to a home without any automation or system control. The proposed demand management system can actively manage the loads due to the knowledge of the elements connected to the network, identifying periods of low consumption which can be related to charging processes completed in mobile phones, laptops or standby mode for televisions. The identification of charges facilitates the implementation of management schemes and control of electric chargesItem Sistema para el análisis de la marcha humana usando sensores inerciales(Universidad Santiago de Cali, 2019) Saavedra Lozano, Diego Fernando; Castillo Garcia, Javier FerneyThe human gait analysis in specialized laboratories is not available in Colombia for applications such as rehabilitation or sports. Therefore, a capture system is designed using inexpensive inertial sensors to analyze the kinematics of the lower limbs. In this article, initially the characteristics and parameters of the human gait are studied, then it was chosen the inertial sensor that would be used according to its specifications and cost, then the prototype of the inertial capture system was made, and finally, the capture system data was verified by comparing the angle of flexion of the knee with the angle obtained by the artificial vision system from the sagittal plane and comparing it with bands of normality. As a result, it was possible to implement a low-cost inertial motion capture system for the analysis of human gait, with its respective graphical interface to visualize the orientation, flexion and extension angles for each segment and joint of the lower limbs. As a conclusion of this work, it was found that with the information of the artificial vision system, from the sagittal plane, it was possible to identify the gait phases and temporal and spatial parameters such as cadence, step length, stride length, speed of stride, as well as the length of the segments, likewise the inertial system can obtain this information with a system of artificial vision or an anthropometric model, to develop a complete tool for the kinematic analysis of human gait