Human-Robot Arm Interaction Based on Electromyography Signal

被引:0
|
作者
Al Mashhadany, Yousif [1 ]
Algburi, Sameer [2 ]
Jasim, Mohammed Abdulteef [1 ]
Khalaf, Ali Qusay [1 ]
Basem, Ibrahem [1 ]
机构
[1] Univ Anbar, Coll Engn, Dept Elect Engn, Anbar, Iraq
[2] Al Kitab Univ, Altun Kupri, Iraq
关键词
Electromyography Signal; Human-Robot Interaction; Anthropomorphism; Human Muscles; Full Synchronization;
D O I
10.1109/DESE54285.2021.9719553
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Many applications in biomedical engineering based on Electromyography signal (EMG) by interface that It will be used effectively within the scientific application of human-robot interaction (HRI) in a very structured and dynamic environment. In HRI applications, we principally specialize in the illustration of automaton work pieces. First, we distinguish between the assorted ideas of representational process, and that we introduce purposeful anthropomorphism to represent a person's movement for human robots, given the functional limitations obligatory by some people.. Robots are useful in many ways and serve various purposes. The human-robot interface has been acknowledged in the past. Electromyography (EMG) is the measurement of nerve signal due to the contracting muscles. In this work, a humanoid robot is controlled through electrical signals acquired from a user's arm. This work consists of three main parts, which are as follows: First, the robot arm's motion was controlled using six variable resistors in order to calculate how much effort the servo would need to move at the desired angle. Second, The EMG signals are obtained from the muscles of the hand by using sensors placed on sites on the arm, where the voltage resulting from muscle contraction and relaxation is measured, and the highest value for the voltage is taken when contracting and the lowest value for the voltage when relaxing. Third, A connection between the real human arm and the robot arm is designed in full synchronization where the results that were calculated in the first paragraph of the work were calibrated with the results that were calculated from the second paragraph.
引用
收藏
页码:475 / 480
页数:6
相关论文
共 50 条
  • [1] Surface Electromyography Signal Recognition Based on Deep Learning for Human-Robot Interaction and Collaboration
    Nuno Mendes
    Journal of Intelligent & Robotic Systems, 2022, 105
  • [2] Surface Electromyography Signal Recognition Based on Deep Learning for Human-Robot Interaction and Collaboration
    Mendes, Nuno
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2022, 105 (02)
  • [3] An adaptive human-robot interaction control method based on electromyography signals
    Zhang B.
    Yao J.
    Zhao X.-G.
    Tan X.-W.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2020, 37 (12): : 2560 - 2570
  • [4] Gesture recognition based on arm tracking for human-robot interaction
    Sigalas, Markos
    Baltzakis, Haris
    Trahanias, Panos
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 5424 - 5429
  • [5] A PDA-based human-robot interaction for disabled persons using electromyography
    Nilas, Phongchai
    2006 Canadian Conference on Electrical and Computer Engineering, Vols 1-5, 2006, : 38 - 41
  • [6] RETRACTED: Recognition of Hand Gesture Using Electromyography Signal: Human-Robot Interaction (Retracted Article)
    Aarthy, S. L.
    Malathi, V.
    Hamdi, Monia
    Hilali-Jaghdam, Ines
    Abdel-Khalek, Sayed
    Mansour, Romany F.
    JOURNAL OF SENSORS, 2022, 2022
  • [7] Modular Robot Arm Design for Physical Human-Robot Interaction
    Tremblay, Ty
    Padir, Taskin
    2013 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2013), 2013, : 4482 - 4487
  • [8] Social Signal Modeling in Human-Robot Interaction
    Stiber, Maia
    Spitale, Micol
    Gunes, Hatice
    Huang, Chien-Ming
    COMPANION OF THE 2024 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2024 COMPANION, 2024, : 1358 - 1360
  • [9] The Development of an Intelligent Robot Arm Playing chess with Human-Robot Interaction
    Thi Thoa Mac
    Trinh-Nhan Dam
    V. Thanh Tri Nguyen
    Ly Hoang Hiep
    Tien-Duc Nguyen
    2023 1ST INTERNATIONAL CONFERENCE ON HEALTH SCIENCE AND TECHNOLOGY, ICHST 2023, 2023,
  • [10] An Online Human Dynamic Arm Strength Perception Method Based on Surface Electromyography Signals for Human-Robot Collaboration
    Zhang, Tie
    Chu, Hubo
    Zou, Yanbiao
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2023, 72 : 1 - 14