Design of haptic vibrational feedback control in upper extremity myoelectric prostheses

Current prosthesis systems use haptic technology, have a brain-machine interaction that is dependent on visual feedback from the user, also have limitations by the details of the sense of touch both textures, roughness, weights, and contact forces applied. This research shows the development and implementation of haptic technology in a myoelectric prosthesis of the upper extremity, to simulate the sense of touch in the claw of the prosthesis to obtain a better control in the grip force taking as parameter the reaction and efficiency that the device has in different conditions for the patient to have an improvement in the feedback and the grip force of the prosthesis. For the development of the investigation, the VDI2206 methodology was used, simulating each part of the myoelectric prosthesis in different software for an improvement in the process of signal interpretation. Also by diagramming the motor execution process it facilitates the interpretation of the design. The results of the investigation show an alternative model of the conventional ones contributing with improvements in the signals received by the haptic prosthesis and better ergonomics, in addition, the perceived signals showed a better subjection and sensitivity. From the presented design it is desired to replicate to future research since the presented model can be taken as research material

Simulation of an Automated Tahitian Lemon Grading System Based on Computer Vision

Lemon exports are of great influence in Peru, since there is a great demand from countries such as the USA, Belgium and Holland. For this reason, the agricultural sector is one of the essential factors for the economic development of the country, since it generates S/29,553 million annually throughout the national territory. On the other hand, Peru offers two types of lemons, for example: the Tahitian lemon and the subtle lemon; however, due to its characteristics, the Tahitian lemon is the one that is sent as an export product worldwide. Currently, the selection process of this fruit is done manually, since there are not enough industrial optimizations in its process. Therefore, the present study aims to carry out the simulation of an automated grading system for Tahitian lemon based on computer vision. The selection parameters for the image processing were established as the levels of ripeness of the lemon: early ripening, medium ripening, ripe and stale. This selection was implemented due to the need to comply with the quality standards required by the Free Trade Agreements (FTA). As a result, the selection simulation was obtained through a conveyor belt, where the fruit passed through the computer vision, which determined the route of the fruit. Finally, it was concluded that through automation it is possible to optimize the selection time of food products