36 citations · 36 across the 3 of their papers we have counts for
3 papers
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…
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…
Real-Time Human Pose Estimation on a Smart Walker using Convolutional Neural Networks
Manuel Palermo, Sara Moccia, Lucia Migliorelli +2
Rehabilitation is important to improve quality of life for mobility-impaired patients. Smart walkers are a commonly used solution that should embed automatic and objective tools fo…