Yunus Palaska

Yeditepe University

Papers

3

Total Citations

29

H-Index

3

About

Yunus Palaska is a researcher at the forefront of human-robot interaction and assistive rehabilitation technologies, with a specific focus on enhancing patient engagement through adaptive systems. His work centers on integrating physiological computing and affective state recognition into robot-assisted rehabilitation platforms, most notably the RehabRoby system. Palaska’s major contributions include pioneering dynamic difficulty adjustment mechanisms that use real-time biofeedback—such as heart rate and galvanic skin response—to calibrate task difficulty, ensuring patients remain optimally challenged without experiencing distress or boredom. His 2018 paper on this topic, which has garnered 16 citations, is a foundational reference in the field. He has also advanced vision-based game design for physical exercise, demonstrating how gesture recognition can create immersive, engaging rehabilitation environments. Furthermore, Palaska applied unsupervised learning to cluster emotional states like excitement, boredom, and stress from sensor data, offering a data-driven approach to personalizing therapy. With a cumulative citation count of over 29 for his most-cited works, Palaska’s research is instrumental in making rehabilitation more effective, interactive, and patient-centered, bridging the gap between robotics, gaming, and emotional computing.

Research Focus

Key Achievements

3
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Exploring dynamic difficulty adjustment mechanism for rehabilitation tasks using physiological measures and subjective ratings
16 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Yeditepe University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago