1. 1. Puviarasi R, Ramalingam M, Chinnavan E. Self assistive technology for disabled people – voice controlled wheel chair and home automation system. IAES International Journal of Robotics and Automation (IJRA). 2014; 3(1)
   2. Tan D, Nijholt A. Brain-Computer Interfaces and HumanComputerInteraction. Brain-Computer Interfaces Human-Computer Interaction Series. 2010: 3-19.
   3. Siswoyo A, Arief Z, Sulistijono IA. Application of Artificial Neural Networks in Modeling Direction Wheelchairs Using Neurosky Mindset Mobile (EEG) Device. EMITTER International Journal of Engineering Technology. 2017; 5(1).
   4. Susan K. Mind over Matter: a $199 Headset Controls Objects via Brain Waves. (NeuroSky MindSet). IEEE Spectrum. 2010; 47(5): 23.
   5. McFarland DJ, Wolpaw JR. Brain-computer interfaces for communication and control. Communications of the ACM. 2011; 54(5): 60-66. PMid:21984822.https://doi.org/10.1145/1941487.194150 6
   6. Rebsamen B, Burdet E, Guan C, et al. Controlling a wheelchair using a BCI with low information transfer rate. 2007 IEEE 10th International Conference on Rehabilitation Robotics. 2007: 1003-1008.
   7. Stephygraph LR, Arunkumar N, Venkatraman V. Wireless mobile robot control through human machine interface using brain signals. 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM); 2015.