Hand gesture recognition based on SIMO Doppler radar sensors

Hand gesture recognition based on SIMO Doppler radar sensors

For access to this article, please select a purchase option:

Buy chapter PDF
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
Short-Range Micro-Motion Sensing with Radar Technology — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Computer-based hand gesture recognition (HGR) remains a technical challenge due to complicated image processing algorithms and excessive occupation of computational resources. Recently, wireless sensing and detection based on continuous-wave (CW) Doppler radar sensors (DRSs) have been intensively investigated, based on which experimental HGRs implemented with cost-effective, miniaturized hardware and linearized, highly efficient algorithms have been experimentally demonstrated. This DRS-based solution is able to recognize definitive, meaningful signatures of human gestures retrieved from low-sampling-rate data, exhibiting promising potential for practical applications. This chapter aims to introduce this progress. The content mainly includes an introduction to the basis of Doppler radar sensing, the architecture, and algorithms suitable for HGRs, and experimental HGR demonstrations based on such architecture and algorithms.

Chapter Contents:

  • 4.1 Doppler radar sensing
  • 4.2 Architecture
  • 4.2.1 Optimal architecture for HGR application
  • 4.2.2 SIMO-structured CW DRS
  • 4.2.3 Experimental implementation of a digital-IF DRS
  • 4.3 Algorithms
  • 4.3.1 Algorithms for the linear retrieval of Doppler signals
  • Dynamic DC offset tracking
  • Linearized arctangent algorithm
  • 4.3.2 Algorithms for HGRs based on a SIMO DRS
  • 2-D motion tracking algorithm
  • 3-D motion tracking algorithm
  • Motion separation algorithm
  • Localization with a redundant SIMO DRS
  • Micro-Doppler analysis
  • 4.4 Experimental demonstration
  • 4.4.1 Linear retrieval of large-scale 2-D motions
  • 4.4.2 Reconstruction of 2-D gesture patterns
  • 4.4.3 Separation of interfering Doppler signal
  • 4.5 Summary
  • References

Inspec keywords: CW radar; Doppler radar; gesture recognition

Other keywords: DRS-based solution; computer-based hand gesture recognition; human-machine interface; human gestures; SIMO Doppler radar sensors; continuous-wave Doppler radar sensors

Subjects: Radar equipment, systems and applications

Preview this chapter:
Zoom in

Hand gesture recognition based on SIMO Doppler radar sensors, Page 1 of 2

| /docserver/preview/fulltext/books/ce/pbce125e/PBCE125E_ch4-1.gif /docserver/preview/fulltext/books/ce/pbce125e/PBCE125E_ch4-2.gif

Related content

This is a required field
Please enter a valid email address