Sensor-Based Activity Recognition Using Frequency Band Enhancement Filters and Model Ensembles

Deep learning methods are widely used in sensor-based activity recognition, contributing to improved recognition accuracy. Accelerometer and gyroscope data are mainly used as input to the models. Accelerometer data are sometimes converted to a frequency spectrum. However, data augmentation based on...

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Bibliographic Details
Main Authors: Hyuga Tsutsumi, Kei Kondo, Koki Takenaka, Tatsuhito Hasegawa
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/3/1465