Julio Fajardo

Julio Fajardo
Universidad Galileo · FISICC

Master of Science

About

19
Publications
7,600
Reads
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81
Citations
Introduction
I am a Research Assistant at the Turing Research Laboratory since 2013 (turing.galileo.edu), as team leader of a project called "Galileo Hand" and as embedded systems designer (hardware and software) of most of the projects of the Lab. My research interest are focused on Embedded Systems, Digital signal processing , Machine Learning and Robotics applied to Assistive Technologies.
Additional affiliations
June 2013 - October 2015
Universidad Galileo
Position
  • Research Assistant
January 2013 - present
Universidad Galileo
Position
  • Researcher
Education
January 2013 - November 2015
Universidad Galileo
Field of study
  • Industrial Electronics
January 2004 - November 2012
Universidad Galileo
Field of study
  • Electrical and Computer Engineering

Publications

Publications (19)
Article
Full-text available
The strict development processes of commercial upper-limb prostheses and the complexity of research projects required for their development makes them expensive for end users, both in terms of acquisition and maintenance. Moreover, many of them possess complex ways to operate and interact with the subjects, influencing patients to not favor these d...
Conference Paper
Full-text available
Controlling different characteristics like force, speed and position is a relevant aspect in assistive robotics, because their interaction with diverse, common, everyday objects is divergent. Usual approaches to solve this issue involve the implementation of sensors; however, the unnecessary use of such devices increases the prosthetics’ prices in...
Article
Full-text available
The complexity of the user interfaces and the operating modes present in numerous assistive devices, such as intelligent prostheses, influence patients to shed them from their daily living activities. A methodology to evaluate how diverse aspects impact the workload evoked when using an upper-limb bionic prosthesis for unilateral transradial ampute...
Article
Full-text available
People taken by upper limb disorders caused by neurological diseases suffer from grip weakening, which affects their quality of life. Researches on soft wearable robotics and advances in sensor technology emerge as promising alternatives to develop assistive and rehabilitative technologies. However, current systems rely on surface electromyography...
Conference Paper
Full-text available
Numerous assistive devices possess complex ways to operate and interact with the subjects, influencing patients to shed them from their activities of daily living. With the purpose of presenting a better solution to mitigate issues generated by complex or expensive alternatives, a test comparing different user-prosthesis interfaces was elaborated t...
Conference Paper
Full-text available
The complexity of User-Prosthesis Interfaces (UPIs) to control and select different grip modes and gestures of active upper-limb prostheses, as well as the issues presented by the use of electromyography (EMG), along with the long periods of training and adaptation influence amputees on stopping using the device. Moreover, development cost and chal...
Conference Paper
Full-text available
The strict development processes of commercial upper-limb prosthesis and complexity of research projects makes them expensive for end users, both in terms of acquisition and maintenance. The advent of 3D printers and the internet, allows for distributed open-source research projects that follow new design principles; these take into account simplic...
Conference Paper
Full-text available
Surface electromyography (sEMG) commonly used in upper-limb prostheses requires expensive medical equipment to get accurate results, and even then only a few actions can be classified. We propose an sEMG activated embedded system based on Digital Signal Processing and Machine Learning, to interpret the user intention with the purpose of controlling...
Poster
Full-text available
The use of surface electromyography (sEMG) to control upper-limb prostheses requires expensive medical equipment to get accurate results. Biopotentials acquisition is affected by many factors, substantially by the limb position effect [2]. A hybrid sEMG activated embedded system combined with Inertial Measurement Units (IMU) is proposed in order to...
Conference Paper
Full-text available
ABSTRACT — Electromyography (EMG) commonly used in bionic hand prostheses require very expensive sensors in order to get accurate results, and even then only a few actions can be classified. In this paper we propose a hybrid EMG activated voice controlled embedded system that uses Digital Signal Processing and Machine Learning in order to interpret...

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Projects

Projects (3)
Project
Mechanical Approach to control remotely a hover board,