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Capturing Representative Hand Use at Home Using Egocentric Video in Individuals with Upper Limb Impairment
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Wearable sensing devices for upper limbs: A systematic review.

Mingjie Dong1, Bin Fang2, Jianfeng Li1

  • 1Beijing University of Technology, Beijing, China.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|September 5, 2020
PubMed
Summary

This review overviews upper-limb wearable sensing devices, covering technologies, algorithms, and applications. It highlights current advancements and future research directions for enhanced wearable technology development.

Keywords:
Wearable devicessensor technologieswearable applicationwearable computing algorithmswearable designs

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Area of Science:

  • Biomedical Engineering
  • Human-Computer Interaction
  • Wearable Technology

Background:

  • Wearable sensing devices are smart electronic systems worn on the body.
  • Rapid advancements in manufacturing and sensor technologies are driving innovation.
  • Upper-limb wearable devices are gaining significant research attention.

Purpose of the Study:

  • To provide a comprehensive overview of upper-limb wearable device research.
  • To explore current technologies, algorithms, and applications.
  • To identify future research trends and potential areas for development.

Main Methods:

  • Review of state-of-the-art upper-limb wearable technologies.
  • Analysis of wearable design, sensor technologies, and computing algorithms.
  • Summary of advantages and disadvantages of current wearable systems.

Main Results:

  • Detailed examination of wearable design considerations.
  • Overview of diverse sensor technologies utilized in wearables.
  • Discussion of wearable computing algorithms and their applications.
  • Presentation of current advantages and limitations of upper-limb wearables.

Conclusions:

  • Upper-limb wearable sensing devices are rapidly evolving.
  • Further research is needed to optimize wearable design, sensors, and algorithms.
  • This review aims to guide future development of advanced wearable sensing devices for the upper limb.