| Titolo | Pubblicato in | Anno |
|---|---|---|
| Validation of inter-subject training for hidden markov models applied to gait phase detection in children with Cerebral Palsy | SENSORS | 2015 |
| A HMM distributed classifier to control robotic knee module of an active orthosis | IEEE International Conference on Rehabilitation Robotics | 2015 |
| Disability and its progression can be objectively measured in multiple sclerosis | MULTIPLE SCLEROSIS | 2015 |
| Real-time gait detection based on Hidden Markov Model: Is it possible to avoid training procedure? | 2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings | 2015 |
Dr. Palermo's research interest is the design, implementation, and validation of new technologies in Experimental Biomechanics and Robotics for Rehabilitation, with focus on human gait and motion analysis. His research activity involved wearable inertial sensors, machine learning algorithms, mechatronics, human-computer interactions, bio-signal processing. The studies he conducted included in-vivo clinical experimentation in cooperation with clinical research partners. A further key part of his research is focused on instrumentation and measurements of industrial process.
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