Brain Computer Interfacing Based Home Automation- An Assistive Technology for People with Motion Disabilities
* Corresponding author
This project presents the Smart Home Automation system by sensing Human Brain Attention Level. This system canbe an effective solution to assist older adults and people with disabilities who suffering from speech and motion related troubles to remain at home, safe and comfortable. The system is based on BCI (Brain computer interface) Technique. Over the past years,technology using electroencephalography (EEG) as a means of controlling electronic devices has become more innovative. Today,individual people are able to measure their own brain waves and patterns outside of medical labs and clinics. Furthermore, besides analysing brain signals, these brain signals can be used as a means of controlling everyday electronic devices, which is also known as brain-computer interface.The BCI is anevolving, recent and unique transmission channel between the humanbrainandanexternaldevice such as TV, bulb, fan etc. The human brain wave signal contains the millions of neuron pattern. This pattern interaction isgenerating a thought motion which consists of different type of electrical waves. EEG headset consists of a sensor to sense human attention level which means human focus occurs during intense concentration and directed mental activity. This signal converted into raw datasets through filtering and amplification by designed circuit and transfers to the microcontroller unit (Arduino).The Arduino process the received signal and drive the relay circuit of the device to make ON and OFF automatically. This system can be used by persons with such difficulties.The device can be found most useful by physically - challenged people who can no longer regain control of their limbs due to several factors. This concept can further be modified to use in several other applications for the similar types of people. Thus, the EEG-based Brain computer interface applications can considerably enhance the quality of life for such people.
Sheeja V. Francis, P.Gnanasivam Brain Computer Interfacing Based Home Automation- An Assistive Technology for People with Motion Disabilities . Cardiometry; No.26 February 2023; p.906-913; DOI: 10.18137/cardiometry.2023.26.906913; Available from: https://www.cardiometry.net/issues/no26-february-2023/brain-computer-interfacing-based-home-automation