Marko Munih
Papers
84
Total Citations
1,677
H-Index
23
About
Marko Munih is a prominent researcher whose work spans rehabilitation robotics, wearable sensor systems, and human-robot interaction, with particular focus on restoring and augmenting human mobility. His research has made significant contributions to the development of intelligent prosthetic and exoskeleton systems, most notably through pioneering gait phase detection algorithms that integrate sensorized shoe insoles and inertial measurement units to enable real-time locomotion recognition for robotic prostheses — work that has garnered over 120 citations. Munih has also advanced sensor calibration methodologies, with his Kalman filter-based accelerometer calibration approach becoming a widely referenced technique in wearable inertial sensing. His contributions to pressure-sensitive insoles and flexible human-robot interaction sensors have helped establish practical frameworks for safe, responsive wearable robotics. Beyond hardware, Munih has investigated the psychophysiological dimensions of rehabilitation, examining how heart rate, skin conductance, and other measures can reveal patients' psychological states during stroke recovery and haptic interaction. His involvement in landmark projects such as CYBERLEGs and bioinspired exoskeleton frameworks underscores his influence across both clinical and engineering communities, with a cumulative citation record reflecting sustained, cross-disciplinary impact.
Research Focus
Key Achievements
Top Papers
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- 3Pressure-Sensitive Insoles for Real-Time Gait-Related Applications88 citations · 2020
- 4Psychophysiological Responses to Robotic Rehabilitation Tasks in Stroke86 citations · 2010
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- 6Real-Time Hybrid Locomotion Mode Recognition for Lower Limb Wearable Robots75 citations · 2017
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