Publications by authors named "Rohayanti Binti Hassan"

Objectives: To design and develop a classifier, named Sewing Driving Training based Optimization-Deep Residual Network (SDTO_DRN) for hand gesture recognition.

Methods: The electrical activity of forearm muscles generates the signals that can be captured with Surface Electromyography (sEMG) sensors and includes meaningful data for decoding both muscle actions and hand movement. This research develops an efficacious scheme for hand gesture recognition using SDTO_DRN.

View Article and Find Full Text PDF

Synopsis of recent research by authors named "Rohayanti Binti Hassan"

  • - Rohayanti Binti Hassan's recent research focuses on developing advanced classifiers for hand gesture recognition, leveraging surface electromyography (sEMG) signals.
  • - The study introduces the Sewing Driving Training based Optimization-Deep Residual Network (SDTO_DRN) as an innovative method for accurately decoding forearm muscle activity linked to hand movements.
  • - Published in the journal Biomed Tech (Berl) in June 2024, the research highlights the efficacy of the proposed SDTO_DRN model in improving gesture recognition accuracy, indicating significant potential for applications in rehabilitation and assistive technologies.