Application of Graphological Coincidence Applied in the Field of Speech Therapy in Children with Motor Difficulties

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The proposal of an application to measure the graphological coincidence according to the activities proposed in the speech therapy in children with motor difficulties is presented, for which the data from The Quick, Draw! Google Creative Lab dataset is obtained from the game The Quick, Draw! And made available to developers, this base The Quick, Draw! Dataset provides 50 million drawings from 345 different categories. For the project, the database of the circle (contains 118805 drawings of circles), square (120538 drawings of squares), and Triangle (contains 120499 drawings of triangles) was downloaded in the format of simplified drawings in Numpy bitmaps, which contain images 28 × 28 grayscale. The existing database was used to obtain an acceptable level of recognition, with the data obtained, training was carried out with respect to the drawings made by regular children and with motor difficulties using an ergonomic pencil. For the experiment procedure, a certain amount of data is extracted from each figure for training and testing. With 4000 training data and 1000 test data, they are enough to obtain optimal results in the recognition of the 3 figures. Keras was used for the neural network because it has more development tools to use and is optimal for rapid prototyping compared to TensorFlow which is high performance. The Classification Script is used to carry out the process, it uses the Preparation Script to obtain the data from the Training and Test folders by the label and prepares them to be used in the Keras model.

Original languageEnglish
Title of host publicationAdvances in Human Factors and Ergonomics in Healthcare and Medical Devices - Proceedings of the AHFE 2021 Virtual Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, 2021
EditorsJay Kalra, Nancy J. Lightner, Redha Taiar
PublisherSpringer Science and Business Media Deutschland GmbH
Pages362-366
Number of pages5
ISBN (Print)9783030807436
DOIs
StatePublished - 2021
EventAHFE Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, 2021 - Virtual, Online
Duration: 25 Jul 202129 Jul 2021

Publication series

NameLecture Notes in Networks and Systems
Volume263
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceAHFE Conference on Human Factors and Ergonomics in Healthcare and Medical Devices, 2021
CityVirtual, Online
Period25/07/2129/07/21

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Children
  • Graphological coincidence
  • Motor difficulties
  • Therapy

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