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| Content Provider | IET Digital Library |
|---|---|
| Author | Narayana, Sujay Prasad, Ranga Rao Venkatesha Warmerdam, Kevin |
| Abstract | These days, the Internet of things (IoT) research is driving large-scale development and deployment of many innovative applications. IoT has indeed brought many smart applications to the doorstep of users. IoT has also made it possible to connect many sensors and control equipment. Here, the authors address an important application for physically challenged. The authors present a brain–computer interface (BCI) system to lock/unlock a wheelchair and control its movements using BCI. The approach presented here uses NeuroSky's MindWave Mobile, a single electrode electroencephalography (EEG) headset that can be connected to any Bluetooth-enabled system. The raw EEG data from the headset is processed on an Android mobile device to extract the electromyography (EMG) patterns that occur due to eye blinks and activity of muscles in the jaw. These patterns are used to control the movement of a wheelchair in all possible directions. A biometric security system is provided to lock and unlock the wheelchair by extracting the information about different brain waves from the raw EEG signal. In this system, only the user knows the password which is generated using brain waves and it can lock/unlock the wheelchair and control it. The proposed system was verified and evaluated using a prototype. |
| Starting Page | 164 |
| Ending Page | 172 |
| Page Count | 9 |
| Volume Number | 4 |
| e-ISSN | 23983396 |
| Issue Number | Issue 2, Jun (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-cps/4/2 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5059 |
| Journal | IET Cyber-Physical Systems: Theory & Applications |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2018-11-23 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-No Derivs License (http://creativecommons.org/licenses/by-nd/3.0/) |
| Subject Keyword | Aids For The Handicapped Android Mobile Device BCI Bioelectric Signal Biology And Medical Computing Biomedical Electrodes Biometric Security System Biomimetics Bluetooth Brain Waves Brain-computer Interfaces Brain–computer Interface System Computer Assistance For Persons with Handicaps Control Engineering Computing Control Equipment Digital Signal Processing EEG Electrode Electrical Activity in Neurophysiological Processes Electrodiagnostics And Other Electrical Measurement Technique Electroencephalography Electroencephalography Pattern Handicapped Aids Innovative Application Interactive-Input Device Internet of Things Internet of Things Research IoT Large-scale Development Medical Signal Processing Mobile Computing NeuroSky MindWave Mobile Pervasive Computing Prosthetics And Other Practical Application Raw EEG Data Raw EEG Signal Sensor Signal Processing And Detection Single Electrode Electroencephalography Headset Smart Application Ubiquitous User InterFace Wheelchair |
| Content Type | Text |
| Resource Type | Article |
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