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Hand Motion Controlled Robotic Arm based on Micro-Electro-Mechanical-System Sensors: Gyroscope, Accelerometer and Magnetometer

Auday A. H. Mohamad, Basil Tareq Abdulbaqi, Noor Kareem Jumaa. Published in Circuits and Systems.

Communications on Applied Electronics
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Auday A. H. Mohamad, Basil Tareq Abdulbaqi, Noor Kareem Jumaa
10.5120/cae2017652621

Auday A H Mohamad, Basil Tareq Abdulbaqi and Noor Kareem Jumaa. Hand Motion Controlled Robotic Arm based on Micro-Electro-Mechanical-System Sensors: Gyroscope, Accelerometer and Magnetometer. Communications on Applied Electronics 7(4):6-11, July 2017. BibTeX

@article{10.5120/cae2017652621,
	author = {Auday A. H. Mohamad and Basil Tareq Abdulbaqi and Noor Kareem Jumaa},
	title = {Hand Motion Controlled Robotic Arm based on Micro-Electro-Mechanical-System Sensors: Gyroscope, Accelerometer and Magnetometer},
	journal = {Communications on Applied Electronics},
	issue_date = {July 2017},
	volume = {7},
	number = {4},
	month = {Jul},
	year = {2017},
	issn = {2394-4714},
	pages = {6-11},
	numpages = {6},
	url = {http://www.caeaccess.org/archives/volume7/number4/746-2017652621},
	doi = {10.5120/cae2017652621},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

There are high requirements to develop artificial arms for many inhuman situations where human interactions are presenting challenges or not possible (i.e. impossible situations). This paper presents information, methods, and techniques which are essential for building a robotic arm controlled by the movements of normal human arm (Gesture Robotic Arm) whose data is acquiring by using the sensor fusion technique of Gyroscope, Accelerometers and Magneto sensors (MEMS sensors). For appropriate control mechanism and for reducing the noise amount which is coming in from the sensors, a proper averaging algorithm is used for smoothening the accelerometer output. The development of this arm is based on the Arduino platform; in which all are interfaced with each other by using Bluetooth wireless communication. The prototype of robotic arm of this paper has been implemented practically. The developed robotic arm of this paper is tracked the movement of human arm with a good accuracy. Implementation of this arm could be expected for overcoming the problems such as picking or placing object that are away from the users or could be used in medical applications.

References

  1. Love Aggarwal, Varnika Gaur and Puneet Verma,“Design and Implementation of a Wireless Gesture Controlled Robotic Arm with Vision,” International Journal of Computer Applications Vol. 79 – No. 13, pp.39-43, October 2013.
  2. Hari Prabhat Gupta, Haresh S. Chudgar, Sidhartha Mukherjee, Tanima Dutta, and Kulwat Sharma, "A Continuous Hand Gestures Recognition Technique for Human-Machine Interaction Using Accelerometer and Gyroscope", IEEE Sensors Journal, Vol. 16, P.P 6425-6432, 2016.
  3. Huiyu Zhou and Huosheng Hu ,“ Reducing Drifts in the Inertial Measurements of Wrist and Elbow Positions, ” IEEE Transaction on Instrumentation and Measurement, Vol.59, Issue 3. pp. 575 – 585, Sep. 2009.
  4. N.Nandhini and SU.Suganthi ,“ Wireless Control of a Robotic Arm Using Inertial Sensor, ” International Journal of Engineering and Advanced Technology, Vol.2, Issue 4, pp.318-320, April 2013.
  5. Syed Aamair, Vuppula Manohar, ,“Design and Development of Real Time Robotic ARM Control using ZIGBEE Wireless communication” International Journal of Professional Engineering Studies, Vol. 1, Issue 2, pp. 201-206, Dec. 2013.
  6. Vivek Bhojak, Girish Kumar Solanki and Sonu Daultani ,“ Gesture Controlled Mobile Robotic Arm Using Accelerometer” International Journal of Innovative Research in Science, Engineering and Technology, Vol. 4, Issue 6, pp. 4538-4544, Jun. 2015.
  7. G. Vijaya Kumar, Dr. Y. Padma SAI, V. Naveen Kumar, and A. Prathibha, "Hand Gesture Recognition Using Accelerometer for Disabled", International Journal of Science, Engineering and Technology Research (IJSETR), Vol. 3, Issue 12, 2014.
  8. Oliver J. Woodman, “An Introduction to Inertial Navigation, Technical Report” University of Cambridge, Aug. 2007.
  9. Meenaakumari.M and M.Muthulakshmi, "MEMS Accelerometer Based Hand Gesture Recognition", International Journal of Advanced Research in Computer Engineering & Technology (IJARCET), Vol. 2, No. 5, 2013.
  10. Hyung Gi Min and Eun Tae Jeung, “Complementary Filter Design for Angle Estimation using MEMS Accelerometer and Gyroscope”, Available online http://www.academia.edu/6261055.

Keywords

MEMS Sensors, Sensor Fusion, Robotic Arm, Gesture Controlled.