A lightweight ultrasound probe for wearable human-machine interfaces

Jipeng Yan, Xingchen Yang, Xueli Sun, Zhenfeng Chen, Honghai Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


A novel sensor technology is urgently required to sense the human motion behavior for wearable human-machine interfaces (HMIs) in a wide spectrum of applications, such as rehabilitation. The inherent limitations of surface electromyography signals and the shortages of the existing ultrasound-based sensors constrain the development of wearable devices from actually being applied to improve our life quality. In this paper, a lightweight A-mode probe, consisting of housing and polyvinylidene fluoride (PVDF) membrane, is proposed to enhance the detection of morphological changes of deep-layered muscles in the wearable HMI context. The PVDF-based probe, with 0.75-g weight and 0.6-mm thickness, is designed, simulated, fabricated, and validated in hand gesture recognition. Its classification accuracy achieves 97.64%±1.83%, which is practically accepted for the usage requirements of the existing wearable HMIs. This paper paves the way for feasible wearable HMIs in real-world applications with lightweight ultrasound probes.

Original languageEnglish
Pages (from-to)5895-5903
Number of pages9
JournalIEEE Sensors Journal
Issue number14
Early online date15 Mar 2019
Publication statusPublished - 15 Jul 2019


  • A-mode ultrasound probe
  • human-machine interface
  • lightweight
  • polyvinylidene fluoride


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