Edwin P. Pruna

Virtual System for Upper Limbs Rehabilitation in Children

A virtual system is presented for upper limbs rehabilitation in children using a haptic device and oculus rift. Two interactive games were created in Unity 3D with daily tasks and easy execution. In addition, the virtual system was used by two groups of children (CP and Down Syndrome) with mild spasticity, the same ones who performed the exercise. The movements allowed by the system help in the rehabilitation of the hands and in hand-eye coordination. The participants completed a SEQ usability test with results (52 ± 0.43) by group 1 and (53,5 ± 0,72) by group 2. The outcomes allow determining that the system has a good acceptance to be used in rehabilitation. Children in group 2 (Down Syndrome) achieved to manage the system successfully despite intellectual and ocular difficulties.

3D Virtual System Using a Haptic Device for Fine Motor Rehabilitation

It is presented a 3D Virtual system with a haptic device that allows the interaction between a user and a virtual environment developed in Unity3D. This System was designed for rehabilitation of paretic hands in adult people with Stroke; the virtual environment was developed considering a daily life’s activity (watering plants in pots). The system was used by five people with mild and moderate Stroke according to ASWRTH 1+ scale, which completed the exercise showed in the virtual application. Patients performed a usability test SUS with outcomes (79, 5 ± 3, 67) this allows to define that the system has a good acceptance for rehabilitation.

Immersive Industrial Process Environment from a P&ID Diagram

This work presents the development of an interactive and intuitive three-dimensional Human Machine Interface, based on Virtual Reality, which emulates the operation of an industrial plant and contains a two-dimensional Human Machine Interface for control and monitoring a process of one or more variables, applying the concept of user immersion in the virtual environment. The application is performed by using Computer Aided Design software and a graphics engine. Furthermore, experimental results are presented and discussed to validate the proposed system applied to a real process of a plant.

Artificial Vision Techniques to Optimize Strawberry's Industrial Classification

This research presents novel artificial vision techniques applied to the detection of features for strawberries used in the food industry. For this purpose, a computer vision system based in artificial neural networks is used, organized as a deep architecture and trained with noise compensated learning. This combination originates a strong network - object relations which makes possible the recognition of complex strawberry features under changing conditions of lightning, size and orientation. The programming uses OpenCV libraries and fruits databases captured with a webcam. The images used to train the Artificial Neural Network are defined with canny edge detection and a moving region of interest (ROI). After training, the network recognizes important features such as shape, color and anomalies. The system has been tested in real time with real images.

VRAndroid System Based on Cognitive Therapeutic Exercises for Stroke Patients.

It is presented VRAndroid System designed in Android and implemented on an Android Tablet, the system consists in a set of nine shapes based on cognitive therapeutic exercises for the motor rehabilitation in upper limbs, this tools provides perceptive feedback (vibration) to the patient as he follows the correct shape with his finger. There are two performed rehabilitation phases: (1) Through the Perffeti Technique (15 sessions), (2) Through VRAndroid System (15 sessions), the evolution and results of the rehabilitation are evaluated by the BOX AND BLOCK test, which shows that, the rehabilitation through this techniques help in the motor recovery of the upper limbs, moreover, the VRAndroid System is a useful tool to be used as a traditional rehabilitation supplement.

Construction and analysis of PID, fuzzy and predictive controllers in flow system

This paper presents the construction of a flow station that allows the implementation of different advanced control technique. Furthermore this work focuses on comparing of the performance of traditional PID controllers, Fuzzy logic and predictive MPC when controlling the flow dynamic variable and to analyze the advantages and disadvantages of these control strategies in industrial processes. The characteristics of the controllers are tested both in simulation and experimentation with dedicated software in systems analysis.

Automatic control of drip irrigation on hydroponic agriculture: Daniela tomato production

The irrigation control and monitoring of the involved variables in the plant growth are actions that farmers must implement in their crops to save water resources and assessing the growth of the Daniela tomato plant. This work presents the control drip is applied to hydroponic farming in which is developed an interface between human and machine in a free software allowing continuous monitoring of moisture, pH, temperature and electrical conductivity of soil through the sensors housed in the crop root zone also, the controller performs the conditioning sensors, actuator control resource to irrigate water, and nutrient solution, and monitoring via web. The field implementation of the system is carried out in a tunnel-type greenhouse designed under the requirements of a hydroponic system. Finally to show the results we evaluate two experiments: Experiment one: determining hydric resourses, and nutritional requirements needed by the culturing based on monitoring of physical variables. Experiment 2; assess how media type tomato fruit have more weight and diameter.

Implementación de una herramienta didáctica para el diagnóstico de válvulas de control

This paper presents the implementation of a tool of low cost for the diagnosis of control valves, aimed at the identification and analysis of the performance of such elements and used them for the education in Engineering. It was implanted a HART network that allows the communication with the positioner of the valve, and it was also built a display interface made in Labview in order to obtain information key data of the control valves, including diagnosis in line and off line.

An Implementation on Matlab Software for Non-linear Controller Design Based on Linear Algebra for Quadruple Tank Process

This paper is focused on the design of a control algorithm based on linear algebra for multivariable systems and its application to control of a quadruple tank system. In order to design the controller, the system model is approximated by numerical methods and then a system of linear equations are solved by least square to obtain the optimal control actions. The strategy presented in this paper has the advantage of using discrete equations and therefore a direct implementation in most computer-driven systems is feasible. The simulation results developed on Matlab software shows the effective of the proposed method.

Didactic System for Process Control Learning: Case Study Flow Control.

It is presented a didactic system for the process control learning, it is considered as a practical case the flow control; four stages are considered for the implementation. The first stage allows obtaining the mathematical model of the plant under test, the second stage allows the design of the PID control and selection of the tuning method, the third and fourth stages allow to implement the control designed to verify experimentally the response of the developed controls.