Assessment of the users emotions in haptic feedback tasks using the Emotiv Insight device

Authors

DOI:

https://doi.org/10.17981/ingecuc.15.1.2019.01

Keywords:

telerobotics, brain computer interface, mobile robots, shared control, haptics, EEG

Abstract

Introduction: This study assesses the five-performance metrics, available on the Emotive Insight device in a virtual toolpath tracking task through a mobile robot.

Objective: Characterize and/or determine if some EEG metrics are related to primitives of a teleoperation task, where haptic feedback is provided, in order to verify if it can be useful to incorporate the information available from the Emotiv device in a shared control strategy.

Methodology: An experimental design was formulated, which includes the recording and analysis of neurosigns in five users with a Brain Computer Interface (BCI), executing tasks of teleoperation of a mobile robot in the Environment of VREP (Virtual Robot Experimentation Platform).

Results: The results show that engagement and relaxation are emotions that could be useful to identify demanding situations in tracking path and evasion of obstacles such as the experimental setup proposed in this article. On the other hand, it is observed that some metrics such as stress, excitement, interest, and focus, on average, remain at similar levels during the task execution.

Conclusions: Including brain-computer interfaces of low-cost, such as the Emotiv in tasks with haptic feedback, offers new possibilities for assessment user performance and potential for control applications.

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Author Biographies

Javier Adolfo Corredor Camargo, Universidad de Pamplona. Pamplona, (Colombia)

Javier Adolfo Corredor Camargo is currently a professor in the Department of Mechanical, Mechatronics and Industrial Engineering at the University of Pamplona (from 2016), He is part of the research group Automation and Control. He holds a Ph.D. in Systems and Computing Engineer in 2017 and his master’s degree in Industrial Automation Engineering in 2008 from the National University of Colombia. He obtained his professional degree as Engineering of Design and Electronic Automation in Salle University in 2003. His research is focused on haptic, control, teleoperation and robotics. https://orcid.org/0000-0002-0106-8790

Cesar Augusto Peña Cortés, Universidad de Pamplona. Pamplona, (Colombia)

Currently a full professor in the Department of Mechanical, Mechatronics and Industrial Engineering at the University of Pamplona (from 2004), He is part of the research group Automation and Control. He holds a Ph.D. in Automation and Robotics from the Universidad Politécnica de Madrid in 2006 (Spain). His master’s degree in Electronics and Computer Engineering at the Universidad de Los Andes (Colombia) in 2003 and his professional degree as an Electromechanical Engineer in Pedagogical and Technological University of Colombia in 2001. His research is focused on service robots, artificial vision, and neuro signals, where he has several publications in journals and congresses. https://orcid.org/0000-0003-4148-2168

Aldo Pardo García, Universidad de Pamplona. Pamplona, (Colombia)

Aldo Pardo Garcia received the degree in Electrical Engineer and the Ph.D. degree in Control Drives of Motors from Belarusian State Agrarian Technical University, Belorussia, in 1983 and 1987, respectively. He has a postdoctoral research in Automatic Control at Cinvestav, Mexico and postdoctoral research in Engineering and Computing, Intelligent control at Florida International University, USA. He is currently a full professor in the Department of Mechanical, Mechatronics and Industrial Engineering at the University of Pamplona. He is the head of Automatic and Control research group.

References

C. Passenberg, A. Glaser, and A. Peer, “Exploring the Design Space of Haptic Assistants: The Assistance Policy Module”, IEEE Transactions on Haptics, vol. 6, no. 4, pp. 440-452, Oct. 2013. [Online . https://doi.org/10.1109/TOH.2013.34

K. Holewa and A. Nawrocka, “Emotiv EPOC neuroheadset in brain-computer interface”, Proceedings of the 2014 15th International Carpathian Control Conference (ICCC). pp. 149–152, May. 2014. https://doi.org/10.1109/CarpathianCC.2014.6843587

G. S. Taylor and C. Schmidt, “Empirical Evaluation of the Emotiv EPOC BCI Headset for the Detection of Mental Actions”, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 56, no. 1, pp. 193–197, Sep. 2012. https://doi.org/10.1177/1071181312561017

R. Lievesley, M. Wozencroft and D. Ewins, “The Emotiv EPOC neuroheadset: an inexpensive method of controlling assistive technologies using facial expressions and thoughts?”, Journal of Assistive Technologies, vol. 5, no. 2, pp. 67–82, Jun. 2011. https://doi.org/10.1108/17549451111149278

R. Maskeliunas, R. Damasevicius, Martisius and M. Vasiljevas, “Consumer-grade EEG devices: are they usable for control tasks?”, PeerJ 4, e1746, Mar. 2016. https://doi.org/10.7717/peerj.1746

C.-L. Lin, F.-Z. Shaw, K.-Y. Young, C.-T. Lin and T.-P. Jung, “EEG correlates of haptic feedback in a visuomotor tracking task”, NeuroImage, vol. 60, no. 4, pp. 2258–2273, May. 2012. https://doi.org/10.1016/j.neuroimage.2012.02.008

M. Grunwald, T. Weiss, W. Krause, L. Beyer, R. Rost, I. Gutberlet and H.-J. Gertz, “Power of theta waves in the EEG of human subjects increases during recall of haptic information”, Neuroscience Letters, vol. 260, no. 3, pp. 189–192, Feb. 1999. https://doi.org/10.1016/S0304-3940(98)00990-2

H. Miura, J. Kimura, N. Matsuda, M. Soga and H, Taki, “Classification of Haptic Tasks based on Electroencephalogram Frequency Analysis”, Procedia Computer Science, vol. 35, Supplement (C), pp. 1270–1277, Jan. 2014. https://doi.org/10.1016/j.procs.2014.08.226

W. Jia, Y. Luo, Y. Hu and J. Zhang, “Adaptive Force Control Tasks Have Far-Transfer Effect on Sustained Attention”, 9th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), vol. 2, pp. 212–217. Aug. 2017. https://doi.org/10.1109/IHMSC.2017.162

T. Palomaki, “EEG-based brain-computer interface with visual and haptic feedback”, Master’s thesis, Helsinki University of Technology, 2007. Available: http://lib.tkk.fi/Dipl/2007/urn007655.pdf

A. Chatterjee, V. Aggarwal, A. Ramos, S. Acharya, N. V. Thakor, “Operation of a Brain-Computer Interface Using Vibrotactile Biofeedback”, 3rd International IEEE/EMBS Conference on Neural Engineering. pp. 171–174, May. 2007. https://doi.org/10.1109/CNE.2007.369639

L. George, M. Marchal, L. Glondu and A. Lecuyer, “Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance”, Haptics: Perception, Devices, Mobility, and Communication. Springer, Berlin, Heidelberg, pp. 124–135, Jun. 2012. https://doi.org/10.1007/978-3-642-31401-8_12

M. A. Benloucif, C. Sentouh, J. Floris, P. Simon and J. C. Popieul, “Online adaptation of the Level of Haptic Authority in a lane keeping system considering the driver’s state”, Transportation Research Part F: Traffic Psychology and Behaviour, In press, Sep. 2017. https://doi.org/10.1016/j.trf.2017.08.013

E. Rohmer, S. P. N. Singh and M. Freese, “V-REP: A versatile and scalable robot simulation framework”, IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 1321–1326, Nov. 2013. https://doi.org/10.1109/IROS.2013.6696520

F. Conti, F. Barbagli, R. Balaniuk, M. Halg, C. Lu, D. Morris, L. Sentis, J. Warren, O. Khatib and K. Salisbury, “The CHAI libraries”, Proceedings of Eurohaptics 2003, Dublin, Ireland, pp. 496–500, 2003.

D. J. Block, M. B. Michelotti and R. S. Sreenivas, “Application of the Novint Falcon haptic device as an actuator in real-time control”, Paladyn, Journal of Behavioral Robotics, vol. 4, no. 3, 182–193, Dec. 2013. https://doi.org/10.2478/pjbr-2013-0017

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Published

2019-03-01

How to Cite

Corredor Camargo, J. A., Peña Cortés, C. A., & Pardo García, A. (2019). Assessment of the users emotions in haptic feedback tasks using the Emotiv Insight device. INGE CUC, 15(1), 9–16. https://doi.org/10.17981/ingecuc.15.1.2019.01

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Vol. 15 No. 1 (2019): (January - June)

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