6 citations · 7 across the 5 of their papers we have counts for
3 papers · 1 filter
Real-Time Prediction of Lower Limb Joint Kinematics, Kinetics, and Ground Reaction Force using Wearable Sensors and Machine Learning
Josée Mallah, Yu Zhu, Kailang Xu +3
Walking is a key movement of interest in biomechanics, yet gold-standard data collection methods are time- and cost-expensive. This paper presents a real-time, multimodal, high sam…
Physiology-informed layered sensing for intelligent human-exoskeleton interaction
Chenyu Tang, Yu Zhu, Josée Mallah +10
Wearable exoskeletons hold transformative promise for restoring mobility across diverse users with muscular weakness or other impairments. However, their translation beyond laborat…
Deep Learning for Motion Classification in Ankle Exoskeletons Using Surface EMG and IMU Signals
Silas Ruhrberg Estévez, Josée Mallah, Dominika Kazieczko +2
Ankle exoskeletons have garnered considerable interest for their potential to enhance mobility and reduce fall risks, particularly among the aging population. The efficacy of these…