Original paper
Novel approaches to human activity recognition based on accelerometer data
Abstract
An increasing number of works have investigated the use of convolutional neural network (ConvNets) approaches to perform human activity recognition (HAR) based on wearable sensor data. These approaches present state-of-the-art results in HAR, outperforming traditional approaches, such as handcrafted methods and 1D convolutions. Motivated by this, in this work we propose a set of methods to enhance ConvNets for HAR. First, we propose a data...
Paper Details
Title
Novel approaches to human activity recognition based on accelerometer data
Published Date
May 9, 2018
Volume
12
Issue
7
Pages
1387 - 1394
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Notes
History