Affiliation:
1. Guangdong Modern Apparel Technology & Engineering Center, Guangdong University of Technology, Guangzhou 510075, China
2. Xiayi Lixing Research Institute of Textiles and Apparel, Shangqiu 476499, China
3. School of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, China
Abstract
In recent years, marked progress has been made in wearable technology for human motion and posture recognition in the areas of assisted training, medical health, VR/AR, etc. This paper systematically reviews the status quo of wearable sensing systems for human motion capture and posture recognition from three aspects, which are monitoring indicators, sensors, and system design. In particular, it summarizes the monitoring indicators closely related to human posture changes, such as trunk, joints, and limbs, and analyzes in detail the types, numbers, locations, installation methods, and advantages and disadvantages of sensors in different monitoring systems. Finally, it is concluded that future research in this area will emphasize monitoring accuracy, data security, wearing comfort, and durability. This review provides a reference for the future development of wearable sensing systems for human motion capture.
Funder
Natural Science Foundation of Guangdong Province
Regional Joint Fund of Guangdong Province
Youth foundation for Humanities
High-level Talent Start-up Scheme of Wuyi University
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference145 articles.
1. A Parametric Approach to Gait Signature Extraction for Human Motion Identification;Rafi;Int. J. Image Process.,2011
2. MXene-Coated Air-Permeable Pressure-Sensing Fabric for Smart Wear;Liu;ACS Appl. Mater. Int.,2020
3. Large-Area All-Textile Pressure Sensors for Monitoring Human Motion and Physiological Signals;Liu;Adv. Mater.,2017
4. Fabrication and Application of Flexible Pressure Sensors with Micro/Nano-Structures;Xiong;Prog. Chem.,2019
5. G-Sense: A Scalable Architecture for Global Sensing and Monitoring;Perez;IEEE Netw.,2010