Siriwadee Aungsakul
Papers
1
Total Citations
50
H-Index
1
About
Dr. Siriwadee Aungsakul is a leading researcher in biomedical signal processing and human-computer interaction (HCI), with a particular focus on assistive technologies. Her seminal work, "Evaluating Feature Extraction Methods of Electrooculography (EOG) Signal for Human-Computer Interface" (2012), has garnered over 50 citations, establishing foundational methods for using eye movement signals as control inputs. Dr. Aungsakul’s major contribution lies in systematically characterizing and classifying EOG signals to enable intuitive, non-invasive interfaces for individuals with severe motor disabilities. By rigorously comparing feature extraction techniques, she has advanced the reliability and accuracy of eye-based control systems, bridging the gap between raw physiological data and practical HCI applications. Her research directly impacts the development of communication aids and environmental control systems for locked-in patients, demonstrating how engineering innovation can restore autonomy. Dr. Aungsakul’s work remains a key reference for scholars exploring biosignal-driven interfaces, underscoring her role in translating complex neural signals into real-world assistive solutions.
Research Focus
Key Achievements
Top Papers
- 1