Evaluation of Principal Component Analysis Algorithm for Locomotion Activities Detection in a Tiny Machine Learning Device

Ricardo Yauri, Ruben Acosta, Marco Jurado, Milton Rios

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

Data generated by human locomotion activities is a process that involves the analysis of hundreds or thousands of data in a reduced time, due to the very nature of the signals generated and the techniques for implementing classification models and event detection. It is advisable to try to reduce the number of characteristics or select the most important elements of the captured signals showing, in this paper, the use of principal component analysis (PCA) techniques. The use of machine learning techniques for reduced hardware devices in intelligent environments, allows generating a solution for the non-invasive supervision of activities, complementing the use of PCA with other classification algorithms suitable for the treatment of data with a high number of characteristics such as support vector machines (SVM). Therefore, the evaluation of PCA processes and SVM algorithms is shown, selecting the one that has the best performance during its implementation in IoT devices with low hardware resources. Finally, it is considered that the memory space consumed in the IoT device and the execution time of the processes are critical elements to make the comparison and contrast of the PCA models, allowing to select and develop a reliable and efficient model in small devices of IoT.

Idioma originalInglés
Título de la publicación alojadaProceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665444453
DOI
EstadoPublicada - 2021
Publicado de forma externa
Evento2nd IEEE Engineering International Research Conference, EIRCON 2021 - Virtual, Lima, Perú
Duración: 27 oct. 202129 oct. 2021

Serie de la publicación

NombreProceedings of the 2021 IEEE Engineering International Research Conference, EIRCON 2021

Conferencia

Conferencia2nd IEEE Engineering International Research Conference, EIRCON 2021
País/TerritorioPerú
CiudadVirtual, Lima
Período27/10/2129/10/21

Nota bibliográfica

Publisher Copyright:
© 2021 IEEE.

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