83 citations · 280 across the 16 of their papers we have counts for
9 papers · 1 filter
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…
An AI-Driven Multimodal Smart Home Platform for Continuous Monitoring and Assistance in Post-Stroke Motor Impairment
Chenyu Tang, Ruizhi Zhang, Shuo Gao +21
At-home rehabilitation for post-stroke patients presents significant challenges, as continuous, personalized care is often limited outside clinical settings. Moreover, the lack of…
Wearable intelligent throat enables natural speech in stroke patients with dysarthria
Chenyu Tang, Shuo Gao, Cong Li +20
Wearable silent speech systems hold significant potential for restoring communication in patients with speech impairments. However, seamless, coherent speech remains elusive, and c…
High-Order Associative Learning Based on Memristive Circuits for Efficient Learning
Shengbo Wang, Xuemeng Li, Jialin Ding +5
Memristive associative learning has gained significant attention for its ability to mimic fundamental biological learning mechanisms while maintaining system simplicity. In this wo…
Neuromorphic spatiotemporal optical flow: Enabling ultrafast visual perception beyond human capabilities
Shengbo Wang, Jingwen Zhao, Tongming Pu +14
Optical flow, inspired by the mechanisms of biological visual systems, calculates spatial motion vectors within visual scenes that are necessary for enabling robotics to excel in c…
A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life
Chenyu Tang, Wentian Yi, Muzi Xu +6
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-rel…
Real-Time State Modulation and Acquisition Circuit in Neuromorphic Memristive Systems
Shengbo Wang, Cong Li, Tongming Pu +5
Memristive neuromorphic systems are designed to emulate human perception and cognition, where the memristor states represent essential historical information to perform both low-le…
Diagnosis of Multiple Fundus Disorders Amidst a Scarcity of Medical Experts Via Self-supervised Machine Learning
Yong Liu, Mengtian Kang, Shuo Gao +12
Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis…
SSVT: Self-Supervised Vision Transformer For Eye Disease Diagnosis Based On Fundus Images
Jiaqi Wang, Mengtian Kang, Yong Liu +12
Machine learning-based fundus image diagnosis technologies trigger worldwide interest owing to their benefits such as reducing medical resource power and providing objective evalua…