A novel preprocessing approach with soft voting for hand gesture recognition with a-mode ultrasound sensing

Sheng Wei, Yue Zhang, Jie Pan, Honghai Liu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

To explore the potential of gesture recognition based on the A-mode ultrasound (AUS) interface in human-computer interaction (HCI), according to the characteristics of AUS signal, a novel preprocessing approach is designed, feature extraction is performed by the window analysis method, and four methods, Linear Discriminant Analysis (LDA), k-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Artificial Neural Network (ANN) for classification. The experimental results show that the single feature with the best results can achieve 91.63% accuracy on KNN. Meanwhile, by feature combination, we can achieve 91.91% accuracy on the KNN classifier, it is 3.60% higher than the highest recognition rate of 88.03% among linear fitting features, called KB features. Further, we learn the integration of soft voting for four classifiers, LDA, KNN, SVM, and ANN, and achieve the highest recognition rate of 92.32% on single features and can achieve 93.09% decoding rate on combined features, which is 4.01% higher than 89.08% among KB features with the soft voting method. The experimental results show that AUS has outstanding performance in gesture decoding.

Original languageEnglish
Title of host publicationIntelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings, Part IV
EditorsHonghai Liu, Zhouping Yin, Lianqing Liu, Li Jiang, Guoying Gu, Xinyu Wu, Weihong Ren
PublisherSpringer
Pages363-374
Number of pages12
ISBN (Electronic)9783031138416
ISBN (Print)9783031138409
DOIs
Publication statusPublished - 10 Aug 2022
Event15th International Conference on Intelligent Robotics and Applications, ICIRA 2022 - Harbin, China
Duration: 1 Aug 20223 Aug 2022

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume13458
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Intelligent Robotics and Applications, ICIRA 2022
Country/TerritoryChina
CityHarbin
Period1/08/223/08/22

Keywords

  • A-mode ultrasound
  • classification method
  • feature extract
  • gesture recognition
  • preprocessing
  • soft voting

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