Development of a Textile Device Applied to Hand Gesture Recognition

被引:0
|
作者
de Oliveira, Joao G. D. [1 ]
Oliveira, Amanda M. D. [2 ]
Mesquita, Marcelo D. S. [3 ]
Neto, Valdemir P. S. [2 ]
D'assuncao, Adaildo G. [2 ]
机构
[1] Eldorado Res Inst, Dept Integrat Syst, Campinas, Brazil
[2] Univ Fed Rio Grande do Norte, Dept Comunicat Engn, Natal, RN, Brazil
[3] Fed Inst Rio Grande do Norte, Dept Comunicat Engn, Pau Dos Ferros, Brazil
关键词
Gesture recognition; wearable device; conductive ink;
D O I
10.1109/IMOC57131.2023.10379660
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a novel chip-free textile tag for gesture recognition applications. The proposed tag consists of a frequency selective surface (FSS) printed on the fabric with conductive ink. The transmission coefficients of the device proposed are controlled by each finger position. This is achieved by associating each finger phalanx with a conductive element. The authors present and discuss a two-finger prototype that was fabricated from fabric commonly used in the textile industry, the jeans. The results obtained demonstrate that the proposed device has a high degree of applicability in gesture recognition applications.
引用
收藏
页码:214 / 216
页数:3
相关论文
共 50 条
  • [31] Examining classifiers applied to static hand gesture recognition in novel sound mixing system
    Lech, Michal
    Kostek, Bozena
    Czyzewski, Andrzej
    Advances in Intelligent Systems and Computing, 2013, 183 AISC : 77 - 86
  • [32] 3DCNN Performance in Hand Gesture Recognition Applied to Robot Arm Interaction
    Castro-Vargas, J.
    Zapata-Impata, B.
    Gil, P.
    Garcia-Rodriguez, J.
    Torres, F.
    ICPRAM: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, 2019, : 802 - 806
  • [33] A Vision-Based Hand Gesture Recognition System: Development and Modelling
    Dixit, Nitin (nitindixit@pec.edu.in), 1600, Springer Science and Business Media Deutschland GmbH
  • [34] Design and development of hand gesture recognition system for speech impaired people
    NeelaHarish
    Poonguzhali, S.
    2015 INTERNATIONAL CONFERENCE ON INDUSTRIAL INSTRUMENTATION AND CONTROL (ICIC), 2015, : 1129 - 1133
  • [35] A lightweight architecture for hand gesture recognition
    Dang, Tuan Linh
    Pham, Trung Hieu
    Dang, Quang Minh
    Monet, Nicolas
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023, 82 (18) : 28569 - 28587
  • [36] FAST HAND DETECTION AND GESTURE RECOGNITION
    Wang, Yuh-Rau
    Syu, Jia-Liang
    Li, Hsin-Ting
    Yang, Ling
    PROCEEDINGS OF 2015 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS (ICMLC), VOL. 1, 2015, : 408 - 413
  • [37] Independent hand gesture recognition in HandTalker
    Gao, W
    Wang, SL
    IMAGE ANALYSIS APPLICATIONS AND COMPUTER GRAPHICS, 1995, 1024 : 443 - 450
  • [38] Contextualized Hand Gesture Recognition with Smartphones
    Garcia-Ceja, Enrique
    Brena, Ramon
    Galvan-Tejada, Carlos E.
    PATTERN RECOGNITION, MCPR 2014, 2014, 8495 : 122 - 131
  • [39] A Simple Hand Segmentation for Gesture Recognition
    Malina, Marek
    Zacek, Jaroslav
    INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017), 2018, 1978
  • [40] SPARSE REPRESENTATIONS FOR HAND GESTURE RECOGNITION
    Poularakis, Stergios
    Tsagkatakis, Grigorios
    Tsakalides, Panagiotis
    Katsavounidis, Ioannis
    2013 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2013, : 3746 - 3750