Towards Wearable A-Mode Ultrasound Sensing for Real-Time Finger Motion Recognition

Volume: 26, Issue: 6, Pages: 1199 - 1208
Published: Apr 25, 2018
Abstract
It is evident that surface electromyography (sEMG) based human–machine interfaces (HMI) have inherent difficulty in predicting dexterous musculoskeletal movements such as finger motions. This paper is an attempt to investigate a plausible alternative to sEMG, ultrasound-driven HMI, for dexterous motion recognition due to its characteristic of detecting morphological changes of deep muscles and tendons. A multi-channel A-mode ultrasound...
Paper Details
Title
Towards Wearable A-Mode Ultrasound Sensing for Real-Time Finger Motion Recognition
Published Date
Apr 25, 2018
Volume
26
Issue
6
Pages
1199 - 1208
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.