What is it about?
What if your computer reads your mind and works accordingly? Imagine a room where everything you can operate just by thinking. What if we can make a hospital that is smart enough to understand the patient's needs? Isn't it amazing? The BCI-driven IoT application is the key to making any smart institution like smart cities, smart hospitals, or smart homes. So the information coming out of the classifier is kept in a cloud server and then the command is passed through the internet to devices.
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Why is it important?
A P300-based BCI tool for controlling electrical gadgets at home has been created in this study. Users may operate various devices linked to comfort, communication, and entertainment requirements with our assistive BCI application. • Any multimedia drive or Hi-fi system in the hospital or at home. Through this process, anyone can control the column button or can on or off the device. • Any motor-impaired patient can control the speed of the fan by the P300 speller mechanism without moving anywhere. • Pick up the phone or hang it up, dial a phone number, automatically dial the emergency phone number or a previously learned phone number, and redial the previous phone number. • Finally, a state-of-the-art comparative analysis is made between the P300 speller and the conventional approach.
Perspectives
I hope this article will help people to understand the importance of collaboration of the technologies and the reader will get an idea about the internet of things and brain-computer interface. In the Internet of Things, the BCI is the communication link between the brain and the IoT devices; it transforms brain signals into commands and transmits them to the IoT devices. And the information that comes from the brain can actually be decoded using some algorithm and fed the information into any IoT device through the internet.
Miss SRICHETA PARUI
Indian Institute of Technology Kharagpur
Read the Original
This page is a summary of: An Advanced Healthcare System Where Internet of Things meets Brain-Computer Interface using Event-Related Potential, January 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3571306.3571449.
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