Original paper

A Convolutional Neural Network-Based Sensor Fusion System for Monitoring Transition Movements in Healthcare Applications

Published: Jun 1, 2018
Abstract
This paper presents a convolutional neural network-based sensor fusion system to monitor six transition movements as well as falls in healthcare applications by simultaneously using a depth camera and a wearable inertial sensor. Weighted depth motion map images and inertial signal images are fed as inputs into two convolutional neural networks running in parallel, one for each sensing modality. Detection and thus monitoring of the transition...
Paper Details
Title
A Convolutional Neural Network-Based Sensor Fusion System for Monitoring Transition Movements in Healthcare Applications
Published Date
Jun 1, 2018
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