Skip to main content
SpringerLink
Log in

A Novel Approach for Actuation of Robotic Arm Using EEG and Video Processing

  • Conference paper
  • First Online:
Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 436))

  • 1144 Accesses

Abstract

In today’s fascinating world of technology, much advancement is being done in various fields of science. However, the field which is showing the most rapid growth in modern times is brain–computer interface. One extremely effective tool for this purpose is Emotiv EPOC headset. The present research focuses on the process of creating a novel BCI that makes the use of the Emotiv EPOC system to measure EEG waves and then it consequently controls the robot. The experiments are performed on 30 different subjects and the obtained results have been analyzed to confirm the usage of the data for the actuation and the control of numerous actuators. The paper presents how video processing can be used to control the robotic arm. The use of video processing gives a new dimension to the variety of applications. The objective is also to provide a low-cost brain-controlled robotic arm.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Sheth, S., Rajai, L., Jetani, P., Dholariya, P.: Scope, study and experimentation of biopac kit and its implications on a brain controlled robotic arm. Discovery 43(196), 1–7 (2015)

    Google Scholar 

  2. Kumari, P., Vaish, A.: Brainwave based user identification system: A pilot study in robotics environment. Robot. Auton. Syst. 65, 15–23 (2015)

    Google Scholar 

  3. Kumari, P., Vaish, A.: Brainwave’s energy feature extraction using wavelet transform. In: 2014 IEEE Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), IEEE (2014)

    Google Scholar 

  4. Campbell et al., T.: NeuroPhone: brain-mobile phone interface using a wireless EEG headset. In: Proceedings of the 2nd ACM SIGCOMM Workshop on Networking, Systems, and Applications on Mobile Handhelds, New Delhi, India, August 30, 2010

    Google Scholar 

  5. Levine, S.P.: A direct brain interface based on event-related potentials. IEEE Trans. Rehab. Eng. 8, 180–185 (2000)

    Google Scholar 

  6. Kher, R., Pawar, T., Thakar, V., Shah, H.: Physical activities recognition from ambulatory ECG signals using neuro-fuzzy classifiers and support vector machines. J. Med. Eng. Technol. 39(2): 138–152 (2015)

    Google Scholar 

  7. Penny, W.D.: EEG-based communication: a pattern recognition approach. IEEE Trans. Rehab. Eng. 8, 214–215 (2000)

    Google Scholar 

  8. Gajjar, B.R., Sheth, S.: Design and automation in back plug press fitting process of ball pen assembly. Appl. Mech. Mach. 592–594, 2596–2600 (2014). doi:10.4028/www.scientific.net/AMM.592-594.2596

    Google Scholar 

  9. Virani, M., Vekariya, J., Sheth, S., Tamboli, K.: Design and development of automatic stirrup bending machine. In: Proceedings of the 1st International and 16th National Conference on Machines and Mechanisms (iNaCoMM 2013), IIT Roorkee, India, pp. 598–606 (2013)

    Google Scholar 

  10. Parikh, P.A., Joshi, K.D., Sheth, S.: Color guided vehicle—an intelligent material handling mechatronics system. In: Proceedings of the 1st International and 16th National Conference on Machines and Mechanisms (iNaCoMM 2013), IIT Roorkee, India, pp. 628–635 (2013)

    Google Scholar 

  11. Chauhan, V., Sheth, S., Hindocha, B.R., Shah, R., Dudhat, P., Jani, P.: Design and Development of a Machine Vision System for Part Color Detection and Sorting, ICSSA (2011) doi:10.13140/2.1.1628.7526

  12. Gupta, M., Patel, A., Dave, N., Goradia, R., Sheth, S.: Text based image segmentation methodology. Procedia Technol. 14, 465–472 (2014). doi:10.1016/j.protcy.2014.08.059.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Mechatronics Engineering Department, G. H. Patel College of Engineering and Technology, Vallabh Vidhyanagar, India

    Saurin Sheth,  Saurabh Saboo &  Harsh Dhanesha

  2. Vallabh Vidhyanagar, India

    Love Rajai,  Prakash Dholariya &  Parth Jetani

Authors
  1. Saurin Sheth
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Saurabh Saboo
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Harsh Dhanesha
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Love Rajai
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Prakash Dholariya
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Parth Jetani
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Saurin Sheth .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media Singapore

About this paper

Cite this paper

Saurin Sheth, Saurabh Saboo, Harsh Dhanesha, Love Rajai, Prakash Dholariya, Parth Jetani (2016). A Novel Approach for Actuation of Robotic Arm Using EEG and Video Processing. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_32

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0448-3_32

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation