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.
|Título de la publicación alojada||Intelligent Systems and Applications - Proceedings of the 2022 Intelligent Systems Conference IntelliSys Volume 2|
|Editorial||Springer Science and Business Media Deutschland GmbH|
|Número de páginas||14|
|ISBN (versión impresa)||9783031160776|
|Estado||Publicada - 2023|
|Evento||Intelligent Systems Conference, IntelliSys 2022 - Virtual, Online|
Duración: 1 set. 2022 → 2 set. 2022
Serie de la publicación
|Nombre||Lecture Notes in Networks and Systems|
|ISSN (versión impresa)||2367-3370|
|ISSN (versión digital)||2367-3389|
|Conferencia||Intelligent Systems Conference, IntelliSys 2022|
|Período||1/09/22 → 2/09/22|
Nota bibliográficaPublisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.