Yikang Yang

ORCID: 0000-0003-4637-0472
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About
Contact & Profiles
Research Areas
  • Neuroscience and Neural Engineering
  • EEG and Brain-Computer Interfaces
  • Muscle activation and electromyography studies
  • Adaptive Control of Nonlinear Systems
  • Advanced Control Systems Design
  • Topic Modeling
  • Traditional Chinese Medicine Studies
  • Advanced Text Analysis Techniques
  • Advanced Computational Techniques and Applications
  • Sentiment Analysis and Opinion Mining
  • Complex Systems and Time Series Analysis
  • Advanced Algorithms and Applications
  • Advanced Control Systems Optimization
  • Hand Gesture Recognition Systems
  • Ship Hydrodynamics and Maneuverability
  • Neural dynamics and brain function
  • Process Optimization and Integration
  • Gaze Tracking and Assistive Technology
  • Engineering Diagnostics and Reliability
  • Chaos control and synchronization
  • Simulation and Modeling Applications
  • Advanced Memory and Neural Computing
  • Advanced Sensor and Energy Harvesting Materials
  • Fault Detection and Control Systems
  • Engineering Technology and Methodologies

Chongqing University of Science and Technology
2024-2025

Nankai University
2018-2023

Xi’an Jiaotong-Liverpool University
2016

Surface electromyogram (sEMG) signals have been used to control multifunctional prosthetic hands. Researchers usually focused on the use of several channels with sEMG identify more gestures without limiting number sensors. However, residual muscles an amputee are limited. Therefore, point a successful recognition system is decrease classify gestures. To achieve this goal, we proposed novel gesture system, in which three can nine In time domain features, root mean square ratio, and...

10.1109/tcds.2018.2884942 article EN IEEE Transactions on Cognitive and Developmental Systems 2018-12-04

Treadmills are widely used to recover walking function in the rehabilitation field for those patients with gait disorders. Nevertheless, ultimate goal of recovery is walk on ground rather than treadmill. This study aims determine effect treadmill and upper trunk movement characteristics using wearable sensors. Eight healthy male subjects recruited perform 420-m straight overground (OW) 5 min (TW), wearing 3 inertial measurement units a pair insole In addition common linear features,...

10.3390/s19092204 article EN cc-by Sensors 2019-05-13

Ye Ma, Lu Zong, Yikang Yang, Jionglong Su. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint (EMNLP-IJCNLP). 2019.

10.18653/v1/d19-1490 article EN cc-by 2019-01-01

The hand plays a very important role in our daily life, and the amputees suffer lot from loss of hands or upper limbs. Hence, assisting devices are desired urgently. Today, prosthetic based on surface electromyography (sEMG) signals can recognize many gestures, but some problems still exist. To identify more recognition systems require multiple electrodes, which unable to be applied with less residual muscles. Meanwhile, better computing performance is required as number electrodes...

10.1109/tcds.2020.2969297 article EN IEEE Transactions on Cognitive and Developmental Systems 2020-01-24

For about 1800 years, tongue inspection has been one of the four major diagnostic methods in Traditional Chinese Medicine (TCM). The is believed to be able reflect health status human body. However, making an accurate diagnose with not a trivial task. It usually requires enormous training on TCM doctor before he can make reasonable diagnosis. Recently, image processing have proposed automatically process images and This study proposes k-means clustering adaptive active contour model based...

10.1109/cisp-bmei.2016.7852933 article EN 2021 14th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) 2016-10-01

The ship heading control is very important to the shipping industry. Active Disturbance Rejection Control (ADRC) method ideal for control, but it highly correlated with parameters. In this brief, we employed chaotic mapping and fractional derivative update enhance Grey Wolf Optimizer (GWO), namely Improved GWO (IGWO). IGWO proposed tune parameters of ADRC adaptively, then IGWO-tuned utilized heading. As comparison, four other optimizers are also ADRC. Five different disturbance situations...

10.1109/tcsii.2022.3211838 article EN IEEE Transactions on Circuits & Systems II Express Briefs 2022-10-04

Surface electromyography (sEMG) signals have been applied widely in prosthetic hand controlling. In the sEMG signal acquisition, wireless devices bring convenience, but also introduce missing due to interference or failure during data transmission. The may only last for tens of milliseconds, a great impact on recognition. Researchers employed various methods complete data, completed not totally fit origins, and more extra calculation time will be spent. When recognizing gestures by from few...

10.1109/tnnls.2021.3105595 article EN IEEE Transactions on Neural Networks and Learning Systems 2021-08-30

The distillation process plays an essential role in the petrochemical industry. However, high-purity column has complicated dynamic characteristics such as strong coupling and large time delay. To control accurately, we proposed extended generalized predictive (EGPC) method inspired by principles of state observer proportional-integral-type method; EGPC can adaptively compensate system for effects model mismatch online performs well controlling time-delay systems. needs fast control, delay...

10.1109/tnnls.2023.3262556 article EN IEEE Transactions on Neural Networks and Learning Systems 2023-04-05

With complex functions, hand is an important organ for human. Unfortunately, many people in China are suffering from losing. Therefore, the effective motion recognition system required to help amputees live or work normally. The surface electromyography (sEMG) signal can represent effectively, and studies about sEMG-based prosthetic hands have been investigated. However, some use on-off switch control command, which limits intelligence flexibility of hands. Some intelligent systems require...

10.1109/icarm.2019.8834153 article EN 2019-07-01

10.1109/ddcls61622.2024.10606622 article EN 2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) 2024-05-17

10.1007/s12555-023-0101-8 article EN International Journal of Control Automation and Systems 2024-12-01

Stroke patients need rehabilitation to recover their abilities of moving, and the underwater can reduce possibility secondary injury during process. Collecting surface electromyography (sEMG) signals provide better guidance medical doctors. However, current sEMG electrodes cannot be applied collect underwater. To solve this problem, we propose a soft electrode based on conductive silicon. The time domain frequency features are extracted. identified by Back Propagation Neural Network (BPNN)...

10.1109/arso46408.2019.8948785 article EN 2019-10-01

Animal-robots have superior advantages over conventional robots. Nevertheless, the mechanism of animal's brain for motor control is still unclear and needs more investigation. Therefore, adult male Sprague-Dawley (SD) rats are chosen as rat-robots to investigate rat's turning behaviors based on electrical stimulation. In this paper, we rat through stimulating Somatosensory Barrel Field Cortex (SlBF) area brain. order find out relationship between different parameters stimulation behaviors,...

10.1109/robio.2018.8665135 article EN 2021 IEEE International Conference on Robotics and Biomimetics (ROBIO) 2018-12-01

10.3901/jme.2001.10.059 article EN Journal of Mechanical Engineering 2001-01-01
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