A Mobile Natural Human-Robot Interaction Method for Virtual Chinese Acupuncture

被引:2
作者
Du, Guanglong [1 ]
Li, Yijia [1 ]
Su, Kang [1 ]
Li, Chunquan [2 ]
Liu, Peter X. [3 ]
机构
[1] South China Univ Technol, Dept Comp Sci, Guangzhou 510006, Peoples R China
[2] Nanchang Univ, Sch Informat Engn, Nanchang 330029, Peoples R China
[3] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
基金
中国国家自然科学基金;
关键词
Needles; Tracking; Mobile robots; Force feedback; Force; Diseases; Robots; Chinese acupuncture; collision detection; needle insertion; human-robot interaction; unrestricted force feedback; visual feedback; CONTINUOUS COLLISION DETECTION; SIMULATION; SYSTEM;
D O I
10.1109/TIM.2022.3201202
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
Most of the existing virtual acupuncture methods cannot allow operators to interact naturally in a large area. To address this problem, this article proposes a mobile natural human-robot interaction interface for virtual Chinese acupuncture teaching, including an automatic hand tracking method and an acupuncture interaction method combining vision and force feedback. The automatic hand tracking method can automatically track and capture the operator's hand movements, allowing the operator to perform acupuncture in a large area. The acupuncture interaction method combining vision and force reproduces the real acupuncture operation mode. The proposed interaction method provides the operator with visual feedback and force feedback without limitation, which improves the naturalness and authenticity of the operation. Through a series of experiments, the proposed method was proven to be more natural and efficient in the virtual acupuncture teaching scene from the point view of interaction. The operators achieve a stronger sense of immersion using this method.
引用
收藏
页数:10
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共 41 条
  • [1] [Anonymous], 2018, MULT GUID
  • [2] Becker R.O., 1985, The Body Electric: Electromagnetism and the Foundation of Life
  • [3] Cao L., 2015, P INT C NETW INF SYS, P623
  • [4] Enhancement of Speech Recognitions for Control Automation Using an Intelligent Particle Swarm Optimization
    Chan, Kit Yan
    Yiu, Cedric K. F.
    Dillon, Tharam S.
    Nordholm, Sven
    Ling, Sai Ho
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2012, 8 (04) : 869 - 879
  • [5] Research of the virtual acupuncture training system VAMT
    [J]. Chen, Z.-B., 1600, Asian Network for Scientific Information (12): : 5756 - 5760
  • [6] Continuous Collision Detection for Ellipsoids
    Choi, Yi-King
    Chang, Jung-Woo
    Wang, Wenping
    Kim, Myung-Soo
    Elber, Gershon
    [J]. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2009, 15 (02) : 311 - 324
  • [7] Signage System for the Navigation of Autonomous Robots in Indoor Environments
    Corrales Paredes, Ana
    Malfaz, Maria
    Salichs, Miguel A.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2014, 10 (01) : 680 - 688
  • [8] Correa C. G., 2009, PROC ACM S APPL COMP, P821, DOI DOI 10.1145/1529282.1529457
  • [9] Dynamic Hand Gesture Recognition Based on Signals From Specialized Data Glove and Deep Learning Algorithms
    Dong, Yongfeng
    Liu, Jielong
    Yan, Wenjie
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [10] A Mobile Natural Interactive Technique With Bare Hand Manipulation and Unrestricted Force Feedback for Virtual Assembly Tasks
    Du, Guanglong
    Deng, Yongda
    Li, Chunquan
    Liu, Peter X.
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72