Adaptive multiple classifiers fusion for inertial sensor based human activity recognition
Abstract
Aiming at the poor accuracy of single classifier in recognizing daily activities based on single accelerometer, this paper presents a method of daily activity recognition based on ensemble learning and full information matrix based fusion weight. Firstly, features from three attributes are extracted from the acceleration signals respectively. The three kinds of features can well describe the information of the activity, and they are relatively...
Paper Details
Title
Adaptive multiple classifiers fusion for inertial sensor based human activity recognition
Published Date
Feb 5, 2018
Journal
Volume
22
Issue
S4
Pages
8141 - 8154
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