83 citations · 280 across the 16 of their papers we have counts for
19 papers
A neuromorphic vision system for open-world visual intelligence
Jiankai Yin, Zheng Miao, Lianghao Guo +13
Time-efficient and robust visual intelligence remains a critical challenge in unstructured open-world environments, yet current approaches often rely on computationally intensive n…
Biomimetic Metamaterial-based Interface for Decoding Heterogeneous Mechanodermal Activity
Muzi Xu, Jiaqi Zhang, Chaoqun Dong +7
Human skin acts as a dynamic biomechanical interface that conveys critical physiological and behavioural information through spatiotemporally distributed deformations. Due to the l…
Monitoring Nitric Oxide in Trigeminal Neuralgia Rats with a Cerium Single-Atom Nanozyme Electrochemical Biosensor
Kangling Tian, Fuhua Li, Ran Chen +8
Trigeminal neuralgia (TN) is the most common neuropathic disorder; however, its pathogenesis remains unclear. A prevailing theory suggests that nitric oxide (NO) may induce nerve c…
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…
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…
AI-Driven Smart Sportswear for Real-Time Fitness Monitoring Using Textile Strain Sensors
Chenyu Tang, Wentian Yi, Zibo Zhang +2
Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. However, existing solutions lac…
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…
Ultrasensitive Textile Strain Sensors Redefine Wearable Silent Speech Interfaces with High Machine Learning Efficiency
Chenyu Tang, Muzi Xu, Wentian Yi +9
Our research presents a wearable Silent Speech Interface (SSI) technology that excels in device comfort, time-energy efficiency, and speech decoding accuracy for real-world use. We…
Universal Murray's law for optimised fluid transport in synthetic structures
Binghan Zhou, Qian Cheng, Zhuo Chen +13
Materials following Murray's law are of significant interest due to their unique porous structure and optimal mass transfer ability. However, it is challenging to construct such bi…
Intelligent machines work in unstructured environments by differential neuromorphic computing
Shengbo Wang, Shuo Gao, Chenyu Tang +9
Efficient operation of intelligent machines in the real world requires methods that allow them to understand and predict the uncertainties presented by the unstructured environment…
Human Body Digital Twin: A Master Plan
Chenyu Tang, Wentian Yi, Edoardo Occhipinti +3
A human body digital twin (DT) is a virtual representation of an individual's physiological state, created using real-time data from sensors and medical test devices, with the purp…