Gesture recognition of wrist motion using low-frequency PPG

This paper evaluated two machine learning techniques using low-frequency photoplethysmography and motion sensor data from wearable devices in gesture segmentation and classification. SVM and random forests were the classifiers selected for testing. Preliminary evaluations show that frequencies of 25...

Full description

Bibliographic Details

Published in:	2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) pp. 1 - 4
Main Authors:	Rylo, Marcos Negreiros, Silva, Walmir A., Paiva de Medeiros, Renan Landau, de Lucena Junior, Vicente Ferreira
Format:	Conference Proceeding
Language:	English
Published:	IEEE 02-09-2022
Subjects:	Gesture recognition machine learning Motion detection Motion segmentation Photoplethysmography Support vector machines Wearable computers wearables Wrist
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!