activity
20242026
collaborators

5 papers

cs.RO2026

Design and Biomechanical Evaluation of a Lightweight Low-Complexity Soft Bilateral Ankle Exoskeleton

Josée Mallah, Zakii Javed, Zafer Azak +2

Many people could benefit from exoskeleton assistance during gait, for either medical or nonmedical purposes. But exoskeletons bring added mass and structure, which in turn require…

eess.SY2026

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…

eess.SY2025

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…

cs.HC2025

Wireless Silent Speech Interface Using Multi-Channel Textile EMG Sensors Integrated into Headphones

Chenyu Tang, Josée Mallah, Dominika Kazieczko +6

This paper presents a novel wireless silent speech interface (SSI) integrating multi-channel textile-based EMG electrodes into headphone earmuff for real-time, hands-free communica…

eess.SY2024

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…