TOWARDS THE DETECTION OF EMOTIONAL STATES USING LOW COST WIRELESS BRAIN COMPUTER INTERFACES

Published 30 April 2021 •  vol 2  •  no 1  • 


Authors:

 

Baljit Kaur, University of Kent, UK
Chee Siang Ang, University of Kent, UK
Malcolm Phillips, East Kent Hospitals University NHS Trust
Farzin Deravi, University of Kent, UK
Mohammed Sakel, East Kent Hospitals University NHS Trust

Abstract:

 

In recent years, there has been an emergence of low cost wireless Brain Computer Interface (BCI) systems. This led to an increasing interest among clinicians to exploit BCI technology for various purposes such as communications and control of the environment for patients with severe motor disabilities, as well as emotional assessment. In this study, we reported the results of evaluation of a low cost wireless BCI system, known as Emotiv EPOC in emotional assessment. 5 male and 5 female participants were exposed to a set of audio-visual stimuli, and having their EEG (electroencephalography) signals captured by the BCI system. It was found that the emotional responses of the participants were, albeit weakly, linked to the EEG reading of the low cost BCI system. It was also noted that female and male participants seemed to exhibit different patterns of EEG signals.

Keywords:

 

Brain Computer Interface (BCI), EEG (electroencephalography), Emotiv EPOC

References:

 

[1] Ang CS, Sakel, M, Pepper, M, Philips, M. (2011) Uses of brain computer interfaces in neurological rehabilitation: a review. British Journal of Neuroscience Nursing, 7(3), pp 523 – 528
[2] Bianchi L, Quitadamo L, Garreffa G, Cardarilli G, Marciani M (2007) Performance Evaluation and Optimization of Brain-Computer Interface Systems in a Copy Spelling Task. IEEE Trans Neural Systems and Rehabilitation Eng June: 207-216
[3] Birbaumer N and Cohen LG (2007) Brain-computer interfaces: communication and restoration of movement in paralysis. J Physiol 579(3): 621-636
[4] Birbaumer N, Ghanayim N, Hinterberger T, Iversen I, Kotchoubey B, Kübler A, Perelmouter J, Taub E, and Flor H (1999) A spelling device for the paralyzed. Nature 398: 297–298
[5] Chayer C and Freedman M (2001) Frontal lobe functions. Current Neurology and Neuroscience Reports I (6): 547-552
[6] Chentsova-Dutton, Y., & Tsai, J.L. (2007). Gender differences in emotional responding among European Americans and Hmong Americans. Cognition and Emotion, 21, 162-181.
[7] Flor H, Kubler A and Birbaumer N (2006) Neuronal internet: web surfing with brain potentials. Neurorehabil Neural Repair 20: 498–50
[8] Hammond D (2005) Neurofeedback Treatment of Depression and Anxiety. Journal of Adult Development 12 (2/3): 131-137
[9] Hammond DC (2001) Neurofeedback treatment of depression with the Roshi. Journal of Neurotherapy 4(2): 45-56
[10] Jarusiuwicz B (2002) Efficacy of neurofeedback for children in the autistic spectrum: A pilot study. Journal of Neurotherapy 6(4): 39-49
[11] Kamiya J (1969) Operant control of the EEG alpha rhythm. In C. Tart Eds, Altered states of consciousness. NY: Wiley.
[12] Karim A, Hinterberger T, Richter J, Melinger J, Neumann N, Flor H, Kubler A and Birbaumer N (2006) Neuronal internet: web surfing with brain potentials. Neurorehabil Neural Repair 20: 498–503
[13] Kennedy PR, Bakay RA, Moore MM, Adams K and Goldwaithe J (2000) Direct control of a computer from the human central nervous system. IEEE Trans Rehabil Eng 8: 198–202
[14] Kostov A and Polak M (2000) Parallel man-machine training in development of EEG-based cursor control. IEEE Trans Rehabil Eng 8: 203–05
[15] Kring AM, Gordon AH. Sex differences in emotion: expression, experience and physiology. J Pers Soc Psychol. 1998;74:686–703.
[16] Kübler A, Kotchoubey B, Hinterberger T, Ghanayim N, Perelmouter J, et al. (1999) The thought translation device: a neurophysiological approach to communication in total motor paralysis. Exp Brain Res 124: 223–232
[17] Lang, P. J. (1995). The emotion probe: Studies of motivation and attention. American Psychologist, 50, 372-385
[18] Lang, P.J., Bradley, M.M., & Cuthbert, B.N. (2008). International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical Report A-8. University of Florida, Gainesville, FL.
[19] Bradley, M. M., & Lang, P. J. (1999). International affective digitized sounds (IADS): Stimuli, instruction manual and affective ratings (Tech. Rep. No. B-2). Gainesville, FL: The Center for Research in Psychophysiology, University of Florida.
[20] McFarland DJ, Sarnacki WA, Wolpaw JR (2008) Electroencephalographic (EEG) control of three-dimensional movement. Society for Neuroscience, Washington, DC, USA.
[21] Monastra VJ, Lynn S, Linden M, Lubar JF, Gruzelier J, LaVaque TJ (2005) Electroencephalographic biofeedback in the treatment of attention- deficit/hyperactivity disorder. Appl Psychophysiol Biofeedback 30: 95–114.
[22] Monderer RS, Harrison DM and Haut SR (2002) Neurofeedback and epilepsy. Epilepsy Behav 3: 214–18.
[23] Mugler E, Ruf C, Hadler S, Bensch M and Kubler A (2010) Design and Implementation of a P300-Based Brain-Computer Interface for Controlling an Internet Browser. Transaction on Neural Systems and Rehabilitation Engineering 8(6):599-609.
[24] Müller-Putz G and Pfurtscheller G (2008) Control of an Electrical Prosthesis with an SSVEP-Based BCI, IEEE Trans Biomedical Eng 55(1): 361-364.
[25] Müller-Putz GR, Scherer R, Pfurtscheller G and Rupp R. (2006) Brain-Computer Interfaces for Control of Neuroprostheses: From Synchronous to Asynchronous Mode of Operation, Biomedizinische Technik/Biomedical Eng 51(2): 57-63.
[26] Müller GR, Scherer R, Pfurtscheller G and Rupp R (2005) EEG-based neuroprosthesis control: a step towards clinical practice. Neurosci Lett 382(1-2):169-74.
[27] Neuper C, Müller-Putz GR, Kübler A, Birbaumer N and Pfurtscheller G (2003) Clinical application of an EEG-based brain-computer interface: a case study in a patient with severe motor impairment, Clinical Neurophysiology 114(3): 399-409.
[28] Peniston EG and Kulkosky PJ (1991) Apha-theta brainwave neuro-feedback therapy for Vietnam vertans with combat-related post-traumatic stress disorder. Medical Psychotheraphy 4: 47-60.
[29] Perez-Marcos D, Slater M and Sanchez-Vives MV (2009) Inducing a virtual hand ownership illusion through a brain-computer interface. NeuroReport 20(6): 589-594.
[30] Putnam JA (2001) EEG biofeedback on a female stroke patient with depression: A case study. Journal of Neurotherapy 5(3): 27-38.
[31] Sharma N, Pomeroy VM and Baron JC (2006) Motor Imagery: A Backdoor to the Motor System after Stroke? Stroke 37: 1941-1952.
[32] Sisner J and Kreutzer J (1989) A family information system for education following traumatic brain injury. Brain Injury 3(1): 79-90.
[33] Wolpaw JR and McFarland DJ (2004) Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. Proc Natl Acad Sci USA 101: 17849–54.
[34] Wolpaw JR, McFarland DJ, Neat GW and Forneris CA (1991) An EEG-based brain-computer interface for cursor control. Electroencephalogr Clin Neurophysiol 78: 252–59.

Citations:

 

APA:
Kaur, B., Ang, C. S., Phillips, M., Deravi, F., & Sakel, M. (2021). Towards the Detection of Emotional States Using Low Cost Wireless Brain Computer Interfaces. Journal of Community Healthcare and Development (JCHD), ISSN: 2652-6026, NADIA, 2(1), 9-22. doi: 10.33832/jchd.2021.2.1.02.

MLA:
Kaur, Baljit, et al. “Towards the Detection of Emotional States Using Low Cost Wireless Brain Computer Interfaces.” Journal of Community Healthcare and Development, ISSN: 2652-6025, NADIA, vol. 2, no. 1, 2021, pp. 9-22. JCHD, http://article.nadiapub.com/JCHD/vol2_no1/2.html.

IEEE:
[1] B. Kaur, C. S. Ang, M. Phillips, F. Deravi, and M. Sakel, "Towards the Detection of Emotional States Using Low Cost Wireless Brain Computer Interfaces." Journal of Community Healthcare and Development (JCHD), ISSN: 2652-6025, NADIA, vol. 2, no. 1, pp. 9-22, April 2021.