• DocumentCode
    1836827
  • Title

    A Multi-sensor armband based on muscle and motion measurements

  • Author

    Cannan, James ; Huosheng Hu

  • Author_Institution
    Sch. of Comput. Sci. & Electr. Eng., Univ. of Essex, Colchester, UK
  • fYear
    2012
  • fDate
    11-14 Dec. 2012
  • Firstpage
    1098
  • Lastpage
    1103
  • Abstract
    This paper presents two simple approaches for fusing together motion and muscle (EMG) sensors to enhance control. The first approach fuses Gyro and EMG sensors to provide relative control, while the second approach fuses EMG, Accelerometer and Magnetometer for absolute control. A wearable prototype armband was developed which incorporates all the sensors. The armband enables any user with some level of yaw and pitch arm movements, as well as arm muscle voluntary contraction, to control an electrical device like a computer, a robotic arm, or a mobile phone. Simple data calculation from the motion sensors outputted pitch and yaw, while EMG threshold based techniques were used for a virtual enter button. The sensor fusion aims to create intuitive control, while not overcomplicating the design process. The interface was connected to a robotic arm and compared against other classical industrial control approaches.
  • Keywords
    dexterous manipulators; electromyography; industrial robots; motion measurement; telerobotics; EMG sensors; Gyro sensors; absolute control; accelerometer; arm muscle voluntary contraction; classical industrial control approaches; data calculation; electrical device; magnetometer; motion measurements; motion sensors; multisensor armband; muscle measurements; muscle sensors; pitch arm movements; robotic arm; wearable prototype armband; yaw arm movements; Accelerometer; Electromyography(EMG); Human-Machine Interface (HMI); Magnetometer; Teleoperation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-2125-9
  • Type

    conf

  • DOI
    10.1109/ROBIO.2012.6491116
  • Filename
    6491116