Non-Linear Chaotic Features-Based Human Activity Recognition

Non-Linear Chaotic Features-Based Human Activity Recognition

Human activity recognition (HAR) has vital applications in human–computer interaction, somatosensory games, and motion monitoring, etc. On the basis of the human motion accelerate sensor data, through a nonlinear analysis of the human motion time series, a novel method for HAR that is based on non-l...

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Bibliographic Details
Main Authors: Pengjia Tu, Junhuai Li, Huaijun Wang, Ting Cao, Kan Wang
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Electronics
Subjects:
non-linear chaotic features
delay time
embedding dimension
RPS
LLE
Online Access:https://www.mdpi.com/2079-9292/10/2/111

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