The Use of Voice Recognition in the Interface of Physical Rehabilitation Applications

Iam Contreras-Alcázar, Kreyh Contreras-Alcázar, Victor Cornejo-Aparicio

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

Abstract

Physical rehabilitation and physiotherapy are a science that develops more and more over time and uses modern technology. In order to optimize the exercises prescribed for the home, various mobile applications are used which present some deficiencies in human-computer interactions. The voice recognition module was added to a mobile application developed which records the movements made by a patient in physical therapy. That module recognizes a phrase emitted by the user which triggers the recognition of movement of the mobile application to be able to start the exercise routine; in the same way when issuing the phrase to end the routine. This work shows the development of the speech recognition module using the Google Android Speech API in a movement recognition application for physiotherapy; the corresponding architecture was developed together with the explanation of the pseudocode and the different interfaces. The results were obtained from 10 test subjects of different ages and sexes, of which 82% of the tests were successful recognition while 18% were not recognized by different factors such as noise and lack of training for older users. The module recognized the voice pattern of the users and the mobile application worked correctly.

Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the 2022 Intelligent Systems Conference IntelliSys Volume 2
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Pages655-668
Number of pages14
ISBN (Print)9783031160776
DOIs
StatePublished - 2023
EventIntelligent Systems Conference, IntelliSys 2022 - Virtual, Online
Duration: 1 Sep 20222 Sep 2022

Publication series

NameLecture Notes in Networks and Systems
Volume543 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceIntelligent Systems Conference, IntelliSys 2022
CityVirtual, Online
Period1/09/222/09/22

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Android speech
  • Movement recognition
  • Physiotherapy
  • Rehabilitation
  • Voice recognition

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