Manuel Fujs
Papers
2
Total Citations
11
H-Index
2
About
Manuel Fujs is a researcher focused on the intersection of sleep science, wearable sensing, and robotic intervention. His key research areas include closed-loop systems for sleep enhancement, textile-based pressure sensing, and automated classification of sleep postures. Fujs made major contributions by developing a compact textile pressure sensor mattress that uses convolutional neural networks to classify recumbent body positions with high accuracy—a critical step for enabling closed-loop robotic interventions in position-dependent sleep disorders. This work has garnered 8 citations since 2023. He also advanced the field of non-pharmacological sleep therapy by designing a closed-loop autotuning system for a robotic bed that delivers vestibular stimulation through gentle rocking, aiming to improve sleep quality and support rehabilitation outcomes. This innovative approach, cited 3 times, offers a promising alternative to conventional treatments. Fujs’s work is notable for integrating machine learning with soft robotics and wearable sensing, demonstrating a practical path toward personalized, technology-driven sleep interventions that could benefit patients with sleep disorders and those undergoing motor rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Enhancing Sleep Quality with Closed-Loop Autotuning of a Robotic Bed3 citations · 2023