Arias Flores, Hugo Patricio

Preferred name
Arias Flores, Hugo Patricio
Main Affiliation
Quito
Email
hugoarias@uti.edu.ec
ORCID
0000-0003-0106-6661
Scopus Author ID
57210802646

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2020 - 20245

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Now showing 1 - 5 of 5
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    Control of an Arm-Hand Prosthesis by Mental Commands and Blinking
    (2020)
    Varela Aldas, José  
    ;
    Castillo Salazar, David Ricardo  
    ;
    Borja Galeas, Carlos  
    ;
    Guevara Maldonado, César Byron  
    ;
    Arias Flores, Hugo Patricio  
    Patients who lack upper and lower extremities have difficulties in carrying out their daily activities. The new technological advances have allowed the development of robotic applications to support people with disabilities, also, portable electroencephalographic (EEG) sensors are increasingly accessible and allow the development of new proposals which involve the mental control of electronic systems. This work presents the control by mental orders of an arm-hand prosthesis using low-cost devices, the objective is to command the arm using the user’s attention and blinking, where the components are a brain signal sensor, a prosthesis, an Arduino board, six servomotors, and a computer. The developed program in Matlab allows controlling the arm by means of an attention level y blinking. The results show the functioning of the system through experimental tests and a usability test is applied, finally, the conclusions establish adequate coordination in the movements of the prosthesis and the patient indicate satisfaction with the proposal. © Springer Nature Switzerland AG 2020.
      38
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    The Impact of Card Games on Enhancing Financial Education and Daily Life Skills for Older Adults
    (2024)
    Marcos Chacón-Castro
    ;
    Jenny Rengifo
    ;
    Arias Flores, Hugo Patricio  
    ;
    Jadán Guerrero, Janio  
    Life expectancy is steadily increasing, and by the year 2030 it is estimated that one in six people in the world will be over 60 years of age. However, this aging population brings with it mental health challenges, with an alarming 20% of older adults facing mental disorders, with depression being the most prevalent. The purpose of this research article is to implement a gamified tool using pictograms to teach financial education to older adults. The methodology employed encompasses a literature review, the design of the gamified tool and the implementation of a pilot test with 11 older adults. According to the results obtained, they reveal that the game designed with pictograms is highly effective in the acquisition of financial knowledge and skills by older adults, thus concluding that gamification and the use of pictograms stand as valuable approaches for active and meaningful teaching, adapting effectively to different demographic groups.
      23
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    Communication Support for Older Adults Through Pictograms
    (2023)
    Arias Flores, Hugo Patricio  
    ;
    Zapata M.
    ;
    Sanchez-Gordon S.
    ;
    Cedillo P.
    Changes generated by the pandemic have stimulated new forms of communication through technological devices. Thanks to these, augmentative and alternative communication through the use of pictograms has allowed the development of communicative capacity for people who face health problems, such as speech, limited motor skills, hearing, among others. In particular, for segments of the elderly population with limited communication and technology management skills, it is important to consider usability and accessibility criteria in technological support interfaces design, in order to provide a satisfying and non-intrusive user experience. Support activities must be pleasant and transparent for the effective users’ communication with their environment. In this context, the article presents a methodology for the design of an augmentative communication solution based on pictograms, with the purpose of transmitting the message from the user to the receiver. This article proposes a systematic review of the literature on augmentative and alternative communication, as well as the use of existing pictograms and technologies. The systematic review protocol considered the choice of four digital libraries for the search. The method of search and selection of technological solutions was based on the search for Apps and websites for the use of pictograms through technology to automate and support the communication of elderly. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
      25
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    Identifying Government Funds to Help People with Disabilities: An Analytical Process
    (2021)
    Arias Flores, Hugo Patricio  
    ;
    Ramos Galarza, Carlos  
    ;
    Jadán Guerrero, Janio  
    ;
    Cóndor-Herrera, Omar  
    ;
    Nunes I.L.
    The development of people living with some type of disability depends on assistive technologies, their families and in some cases government support. Worldwide, 15% of the population lives with some type of disability. In this context, the different degrees of dependency, derived from the different limitations of functional diversity, as a result of disability, cannot in many cases maintain personal development, since their limitations do not allow them to be independent and require permanent care. What happens to these people and their family? The objective of the research is to identify the sectors in Ecuador in which government subsidies are concentrated and in which type of disability. This research is descriptive in nature and public information from authorized sources was used. Obtaining this information will allow to orient what care this vulnerable population requires for its development, since the different degrees of dependency will condition the evolution in the prevalence of disability at any geographical scale. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
      26
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    Detection of Cutaneous Tumors in Dogs Using Deep Learning Techniques
    (2020)
    Zapata, L.
    ;
    Chalco, L.
    ;
    Aguilar, L.
    ;
    Ramírez-Morales, I.
    ;
    Hidalgo, J.
    Cytological diagnosis is useful in the practical context compared to the histopathology, since it can classify pathologies among the cutaneous masses, the samples can be collected easily without anesthetizing the patient, at very low cost. However, an experimented veterinarian performs the cytological diagnosis in approximately 25 min. Artificial intelligence is being used for the diagnosis of many pathologies in human medicine, the experience gained by years of work in the area of work allow to issue correct diagnoses, this experience can be trained in an intelligent system. In this work, we collected a total of 1500 original cytologic images, performed some preliminary tests and also propose a deep learning based approach for image analysis and classification using convolutional neural networks (CNN). To adjust the parameters of the classification model, we recommend to perform a random and grid search will be applied, modifying the batch size of images for training, the number of layers, the learning speed and the selection of three optimizers: Adadelta, RMSProp and SGD. The performance of the classifiers will be evaluated by measuring the accuracy and two loss functions: cross-categorical entropy and mean square error. These metrics will be evaluated in a set of images different from those with which the model was trained (test set). By applying this model, an image classifier can be generated that efficiently identifies a cytology diagnostic in a short time and with an optimal detection rate. This is the first approach for the development of a more complex model of skin mass detection in all its types. © 2020, Springer Nature Switzerland AG.
    Scopus© Citations 1  24