Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

Sensor Data Acquisition and Multimodal Sensor Fusion for Human Activity Recognition Using Deep Learning

In this paper, we perform a systematic study about the on-body sensor positioning and data acquisition details for Human Activity Recognition (HAR) systems. We build a testbed that consists of eight body-worn Inertial Measurement Units (IMU) sensors and an Android mobile device for activity data col...

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Bibliographic Details
Main Authors: Seungeun Chung, Jiyoun Lim, Kyoung Ju Noh, Gague Kim, Hyuntae Jeong
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Sensors
Subjects:
mobile sensing
sensor position
human activity recognition
multimodal sensor fusion
classifier-level ensemble
Long Short-Term Memory network
deep learning
Online Access:https://www.mdpi.com/1424-8220/19/7/1716

Internet

https://www.mdpi.com/1424-8220/19/7/1716

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