3 papers
cs.CV2025
Deep Inertial Pose: A deep learning approach for human pose estimation
Sara M. Cerqueira, Manuel Palermo, Cristina P. Santos
Inertial-based Motion capture system has been attracting growing attention due to its wearability and unsconstrained use. However, accurate human joint estimation demands several c…
cs.RO2025
A Human-Sensitive Controller: Adapting to Human Musculoskeletal Disorder-Related Constraints via Reinforcement Learning
Vitor Martins, Sara M. Cerqueira, Mercedes Balcells +2
Work-Related Musculoskeletal Disorders continue to be a major challenge in industrial environments, leading to reduced workforce participation, increased healthcare costs, and long…
cs.HC2022
Complete Inertial Pose Dataset: from raw measurements to pose with low-cost and high-end MARG sensors
Manuel Palermo, Sara Cerqueira, João André +2
The use of wearable technology for posture monitoring has been expanding due to its low-intrusiveness and compliance with daily use requirements. However, there are still open chal…