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Hand Gesture Based Control of NAO Robot Using Myo Armband

  • Sara AliEmail author
  • Mohammad Samad
  • Faisal Mehmood
  • Yasar Ayaz
  • Wajahat Mehmood Qazi
  • Muhammad Jawad Khan
  • Umer Asgher
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 953)

Abstract

Electromyography (EMG) has become an automation technique and has found its way in disciplines other than medical sciences. EMG based equipment is being used for automation of soft as well as hard robots. NAO is a humanoid robot developed by Aldebaran Robotics currently deployed in the health and education sector. In this paper we have attempted to develop an interface for controlling the NAO robot with an EMG sensor known as Myo Armband, we implemented a TCP client with the C++ Myo arm-band SDK and a corresponding sever with the Python NAO robot SDK. A Finite State Machine (FSM) architecture is incorporated at the client side to manage the network traffic rate as well as to increase efficiency of the system. The scope of this paper is limited to four different gestures instantiating four distinct actions performed by the robot using Myo Armband, this research is currently under development and in its testing phase. This technological aid supports the person who is waist down paralyzed or for an immobile patient on a hospital bed who wants to get the task done through a social robot.

Keywords

Human-robot interaction Autism spectrum disorder Client-server model NAO robot Myo arm band 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Sara Ali
    • 1
    Email author
  • Mohammad Samad
    • 2
  • Faisal Mehmood
    • 1
  • Yasar Ayaz
    • 1
  • Wajahat Mehmood Qazi
    • 2
  • Muhammad Jawad Khan
    • 1
  • Umer Asgher
    • 1
  1. 1.School of Mechanical and Manufacturing Engineering (SMME)National University of Sciences and Technology (NUST)IslamabadPakistan
  2. 2.Department of Computer ScienceCOMSATS University Islamabad, Lahore CampusLahorePakistan

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