Maurizio Schmid
Papers
7
Total Citations
268
H-Index
4
About
Maurizio Schmid is a leading researcher at the intersection of biomechanics, human-robot collaboration, and clinical gait analysis. His work primarily focuses on understanding and improving human movement through sensor technology and robotics, with major contributions in two key areas. First, he has pioneered the use of inertial measurement units (IMUs) for clinical diagnostics, most notably in his highly cited 2018 study on classifying Parkinson’s disease from gait (242 citations), which systematically analyzed sensor placement and feature selection to enhance diagnostic accuracy. Second, Schmid investigates how varying levels of human-robot collaboration affect postural stability and biomechanical risk in industrial settings, demonstrating that different collaborative modalities trigger distinct trunk oscillation patterns and muscle activity responses. His research also extends to rehabilitation, where he has developed haptic platforms for measuring fine upper limb movement regularity and assessed postural responses in children with hemiplegia using 3D robotic platforms. By combining wearable sensors, electromyography, and robotic systems, Schmid’s work provides critical insights for designing safer human-robot workspaces and more effective clinical interventions for movement disorders.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7