Papers
32
Total Citations
1,088
H-Index
13
About
Domen Novak is a prominent researcher at the intersection of rehabilitation robotics, wearable systems, and human-robot interaction, whose work has significantly advanced how intelligent machines support human health and physical performance. With over 800 citations across his most influential publications, Novak has established himself as a leading voice in developing sensor-rich, adaptive robotic systems for clinical and everyday use. His early research pioneered the use of psychophysiological measurements — including heart rate, skin conductance, and EEG — to objectively assess cognitive and physical workload during robot-assisted stroke rehabilitation, laying the groundwork for truly responsive therapeutic systems. This culminated in landmark contributions such as real-time closed-loop control of cognitive load during gait training, enabling personalized rehabilitation for neurologically impaired patients. Novak's 2014 survey on sensor fusion in wearable robotics (241 citations) remains a foundational reference in the field, while his work on competitive and cooperative gameplay in arm rehabilitation (206 citations) demonstrated innovative strategies for boosting patient motivation. His 2021 examination of barriers to widespread wearable robot adoption reflects his ongoing commitment to translating research into real-world impact. Across disciplines, Novak consistently bridges engineering rigor with human-centered design, making rehabilitation technology more intelligent, engaging, and accessible.
Research Focus
Key Achievements
Top Papers
- 1A survey of sensor fusion methods in wearable robotics241 citations · 2014
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- 4Psychophysiological Responses to Robotic Rehabilitation Tasks in Stroke86 citations · 2010
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- 10Control Strategies and Artificial Intelligence in Rehabilitation Robotics30 citations · 2015