MUMBAI, India, Oct. 31 -- Intellectual Property India has published a patent application (202411028045 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on April 4, 2024, for 'hybrid brain-computer interface systems by combining eeg and fnirs for enhanced performance.'
Inventor(s) include Prof. Ajith Abraham; and Prof. Arpit Bhardwaj.
The application for the patent was published on Oct. 31, under issue no. 44/2025.
According to the abstract released by the Intellectual Property India: "Hybrid Brain-Computer Interface Systems by Combining EEG and fNIRS for Enhanced Performance Abstract The present invention relates to an integrated brain-computer interface (BCI) system that combines electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) sensors to capture and record electrical and hemodynamic responses from a user's brain. A data processing unit receives and integrates the data from the EEG and fNIRS sensors and maps it to a set of predefined commands or responses using algorithms. The system's output device executes the predefined commands or responses based on the integrated data from the EEG and fNIRS sensors. The data processing unit can apply data fusion techniques to combine the data from the EEG and fNIRS sensors and correct for motion artifacts in the received data. The system can be arranged in a wearable form factor such as a headset, cap, or helmet, and the output device can be a digital or physical interface such as a computer, smartphone, tablet, or robotic arm. The accuracy and reliability of the predefined commands or responses can be improved over time using machine learning algorithms based on continuous input from the EEG and fNIRS sensors."
Disclaimer: Curated by HT Syndication.
