Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection
Volume: 8, Issue: 1, Pages: 83 - 96
Published: Jan 1, 2020
Abstract
Wearable sensor-based human activity recognition has been widely used in many fields. Considering that a multi-sensor based recognition system is not suitable for practical applications and long-term activity monitoring, this paper proposes a single wearable accelerometer-based human activity recognition approach. In order to improve the reliability of the recognition system and remove redundant features that have no effect on recognition...
Paper Details
Title
Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection
Published Date
Jan 1, 2020
Volume
8
Issue
1
Pages
83 - 96
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