MUMBAI, India, Sept. 12 -- Intellectual Property India has published a patent application (202411013420 A) filed by Bennett University, Greater Noida, Uttar Pradesh, on Feb. 24, 2024, for 'brain-computer interface system for enhancing cognitive training and brain fitness.'
Inventor(s) include Prof. Arpit Bhardwaj; and Prof. Ajith Abraham.
The application for the patent was published on Sept. 12, under issue no. 37/2025.
According to the abstract released by the Intellectual Property India: "The present invention is a brain-computer interface (BCI) system that enables improved human-robot collaboration. The system includes an electroencephalography (EEG) module and an electromyography (EMG) module that capture brain and muscle activity signals of a user, respectively. These signals are then processed using a signal processing unit and a machine learning algorithm, which adapts to the user's changing cognitive state and intentions. The robotic system receives the processed signals and adjusts its actions based on the user's cognitive state and intentions. A user interface is provided to monitor and control the BCI system, and the user can also provide feedback to facilitate the adaptation of the machine learning algorithm. Additional claims include filtering out irrelevant or noisy signals, calibrating the BCI system, utilizing feature extraction techniques, and providing real-time feedback to the user. This invention has significant potential for improving human-robot collaboration in a wide range of applications, such as manufacturing, healthcare, and assistive technology."
Disclaimer: Curated by HT Syndication.
