Wireless Brain Computer Interface for Smart Home and Medical System
The number of aged and disabled people has been increasing worldwide. To look after these people is a big challenge in this era. However, scientists overcome the problems of handicapped people with the help of the latest communication technologies. The smart home and medical systems are a predominant concept in research and development, specially utilizing the brain-computer interface (BCI) technology to control the daily use appliances. BCI acquires the brain signals that transmit to a digital device for analyzing and interpreting into further command or action but this approach limits the communication range between the brain and the system and becomes bulky because of the wired interface of a brain with the system. Therefore, the main purpose of this research was to design and evaluate a system that empowered the immobilized, handicapped or elderly people to carry out their basic routine tasks wirelessly, for instance, operating home appliances and monitoring vital signs without any dependency. In addition, the subject should have a properly functioning brain and controlled with eye muscle movement. In this research work, wireless BCI (WBCI) technology that is a commercial electroencephalogram headset is used to control home and medical appliances such as a light bulb, a fan, a digital blood pressure monitor and an Infrared deep pain therapeutic belt for dependent people. An Android application is developed name “Smart Home Monitor” that monitors the data from the headset. The designed device is tested on younger (50-year-old) and older (> 50-year-old) individuals to achieve an attention level (0–100). The younger male reached attention level 74.78 within 26.20 s; quicker than younger female and older people. Overall, this research work is unique for the reason that it is suitable for all those people, whose brain and eye muscles are functional even if the rest of the body is paralyzed. This analysis evaluated WBCI device enables the system to be wireless, handy, portable and reliable. Thus, the whole system can be commercialized for immobilized or handicapped people to provide better care and facility at home. Especially, the disable people appreciated this system and want to see its implementation as soon as possible.
KeywordsWireless system Wireless brain-computer interface (WBCI) Smart home Disable people Android application
We dedicate this research work to our co-author Mr. Talha Rafi, who is no more among us. We will be thankful to Syed Muhammad Omair and Hira Sohail for their guidance and support in carrying out this research work.
- 1.Hundia, R. (2015). Brain computer interface-controlling devices utilizing the alpha brain waves. International Journal of Scientific and Technology Research, 4(1), 281–285.Google Scholar
- 2.Ferreira, A. L. S., de Miranda, L. C., de Miranda, E. E. C., & Sakamoto, S. G. (2013). A survey of interactive systems based on brain-computer interfaces. SBC Journal on Interactive Systems, 4(1), 3–13.Google Scholar
- 4.Giovanni, Z., Maliheh, G., Eleonora, F., & Alberto, D. M. (2016). The smart home services diffusion process: A system dynamics model. In The 34th international conference of the system dynamics society, Delft, The Netherlands.Google Scholar
- 5.Adair, B., Miller, K., Ozanne, E., Hansen, R., Pearce, A. J., Santamaria, N., et al. (2013). Smart-home technologies to assist older people to live well at home. Journal of Aging Science, 1(1), 1–9.Google Scholar
- 6.Sanei, S., & Chambers, J. A. (2013). EEG signal processing. New York: Wiley.Google Scholar
- 8.Amiri, S., Rabbi, A., & Azinfar, L. (2013). A review of P300 SSVEP and hybrid P300/SSVEP brain-computer interface systems. In Brain-Computer Interface Systems—Recent Progress and Future Prospects (pp. 195–209).Google Scholar
- 9.Graimann, B., Allison, B. Z., & Pfurtscheller, G. (Eds.). (2010). Brain-computer interfaces: Revolutionizing human-computer interaction. Berlin: Springer.Google Scholar
- 10.Lee, W. T., Nisar, H., Malik, A. S., & Yeap, K. H. (2013). A brain computer interface for smart home control. In IEEE 17th international symposium on consumer electronics (ISCE) (pp. 35–36).Google Scholar
- 11.Abin, K. T. & Ramachandraiah, U. (2015). Brain computer interface based smart living environmental auto adjustment control system using internet of things (Iot) networking. International Journal of Emerging Technology in Computer Science and Electronics (IJETCSE), 13(1), 360–366.Google Scholar
- 12.Wang, Y. T., Wang, Y., & Jung, T. P. (2010). A cell-phone based brain-computer interface for communication in daily life. AICI 2010, Part II, LNAI, 6320, 233–240.Google Scholar
- 13.Liao, L. D., Chen, C. Y., Wang, I. J., Chen, S. F., Li, S. Y., Chen, B. W., et al. (2012). Gaming control using a wearable and wireless EEG-based brain-computer interface device with novel dry foam-based sensors. Journal of Neuroengineering and Rehabilitation. https://doi.org/10.1186/1743-0003-9-5.CrossRefGoogle Scholar
- 15.Rao, T. K., Lakshmi, M. R., & Prasad, T. V. (2012). An exploration on brain computer interface and its recent trends. International Journal of Advanced Research in Artificial Intelligence, 1(8), 17–22.Google Scholar
- 17.Arafat, I. (2013). Brain-computer interface: Past, present & future. International Islamic University Chittagong (IIUC), Chittagong, Bangladesh. http://s3.amazonaws.com/academia.edu.documents/8502113/Update_bci_research_for_international_conference_by_arafat.pdf. Accessed Sept 02, 2018.
- 18.Hassib, M., & Schneegass, S. (2015). Brain computer interfaces for mobile interaction: Opportunities and challenges. In Proceedings of the 17th international conference on human-computer interaction with mobile devices and services adjunct (pp. 959–962).Google Scholar
- 20.Dobosz, K., & Wittchen, P. (2015). Brain-computer interface for mobile devices. Journal of Medical Informatics and Technologies, 24, 215–222.Google Scholar
- 22.Lin, J. S., & Hsieh, C. H. (2014). A BCI control system for TV channels selection. International Journal of Communications, 3, 71–75.Google Scholar
- 23.Huang, D., Qian, K., Fei, D. Y., Jia, W., Chen, X., & Bai, O. (2012). Electroencephalography (EEG)-based brain–computer interface (BCI): A 2-D virtual wheelchair control based on event-related desynchronization/synchronization and state control. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 20(3), 379–388.CrossRefGoogle Scholar
- 24.Kaysa, W. A., & Widyotriatmo, A. (2013). Design of brain-computer interface platform for semi real-time commanding electrical wheelchair simulator movement. In Proceedings of the 2013 3rd international conference on instrumentation control and automation (ICA) (pp. 39–44). IEEE.Google Scholar
- 25.Lin, J. S., & Yang, W. C. (2012). Wireless brain-computer interface for electric wheelchairs with EEG and eye-blinking signals. International Journal of Innovative Computing, Information and Control, 8(9), 6011–6024.Google Scholar