Publications by authors named "Arshia Arif"

Collaborative robots (cobots) have largely replaced conventional industrial robots in today's workplaces, particularly in manufacturing setups, due to their improved performance and intelligent design. In the framework of Industry 5.0, humans are working alongside cobots to accomplish the required level of automation.

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Article Synopsis
  • - Robotics and AI are crucial in creating assistive technologies for people with motor disabilities, particularly through Brain-Computer Interfaces (BCI), which enable communication by translating brain signals into external commands.
  • - A novel framework has been developed to accurately classify binary-class electroencephalogram (EEG) data, utilizing techniques like independent component analysis (ICA) and common spatial pattern (CSP) for preprocessing and feature extraction.
  • - The framework showed impressive results, achieving classification accuracies of 90.42% and 95.42% on two different BCI competition datasets using logistic regression, demonstrating potential for real-time BCI applications and future adaptability for multi-class scenarios.
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