A5101406657- Muscle activation and electromyography studies
- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- Tactile and Sensory Interactions
- Mobile Health and mHealth Applications
- Prosthetics and Rehabilitation Robotics
- Neuroscience and Neural Engineering
- Stroke Rehabilitation and Recovery
- Cardiovascular Function and Risk Factors
- Technology Use by Older Adults
- Wireless Body Area Networks
- Cell Image Analysis Techniques
- Motor Control and Adaptation
- Textile materials and evaluations
- Structural Engineering and Vibration Analysis
- Color perception and design
- Cardiac electrophysiology and arrhythmias
- 3D Printing in Biomedical Research
- Digital Mental Health Interventions
- Robot Manipulation and Learning
- Context-Aware Activity Recognition Systems
- Cardiovascular Health and Disease Prevention
- Image Processing Techniques and Applications
- Soft Robotics and Applications
- Conducting polymers and applications
Southern University of Science and Technology
2020-2025
Shenzhen Academy of Robotics
2023
Zhejiang University
2012-2021
Chung Yuan Christian University
1998-2017
People with two-arm disabilities need to grasp various densely placed objects in their daily life. However, current arm-free human-robot interfaces (HRIs), such as language-based and gaze-based HRI, are difficult effectively control the robotic arm complete above task. To achieve this task effectively, we innovatively propose an HRI based on Mixed Reality (MR) feedback head control, which enables people give full play intelligence correcting robot perception errors determining...
We present a deep learning architecture Convolutional Neural Networks (CNNs) for automatic classification and recognition of reprogramming reprogrammed human Induced Pluripotent Stem (iPS) cell regions in microscopy images. The differentiated cells that possibly undergo to iPS can be detected by this method screening reagents or culture conditions induction. results demonstrate our CNNs achieve the Top-1 Top-2 error rates 9.2% 0.84%, respectively, produce probability maps analysis....
On-Site assembly is an important and complex task in many industrial fields, it usually needs the cooperation of two skilled people. SuperLimb enhances user's capabilities by increasing number limbs provides possibility for one person to perform on-site tasks. However, explicit control from redundant body signals difficult multiple degrees freedom (DoFs) required tasks due limited instructions. To address this issue, letter proposes a Voluntary-Redundant hybrid (VRHC) achieve DoFs...
Mobile health (mHealth) technology has been proposed to alleviate the lack of sufficient medical resources for personal healthcare. However, usage difficulties and compliance issues relating this restrict effect mHealth system-su
This paper presents a health monitoring system by incorporating the approach of user centered design (UCD) for enhancing usability elderly. The is designed cardiovascular diseases (CVD) related physiological signals including electrocardiogram (ECG), pulse wave (PW) and body weight (BW). Ease use non-obtrusiveness are two key requirements criteria. Our on three levels: personal medical device layer, mobile application layer remote central service layer. A chair-based apparatus was built...
Supernumerary Robotic Limbs (SRL) can expand the physical capabilities of humans in various tasks and working environments. To increase operation efficiency SRL, it is critical to acquire task environmental information, which limits controller. Previous research has proved that gaze signal plays a vital role human-robot shared manipulation. Therefore, this paper proposes information based controlling system for SRL. This consists following modules: acquisition module capturing spacial...
Decoding the user's natural grasp intent enhances application of wearable robots, improving daily lives individuals with disabilities. Electroencephalogram (EEG) and eye movements are two representations when users generate in their minds, current studies decoding human by fusing EEG movement signals. However, neural correlation between these signals remains unclear. Thus, this paper aims to explore consistency grasping intention estimation. Specifically, six pairs decoded combining feature...
Cardiovascular disease (CVD) has been the most critical health problem in China. Large number of researches and clinical experiments demonstrated that home healthcare helps detect CVD at early stage. This work designed a mobile system. Physiological signals are acquired by portable apparatus transferred to gateway or personal devices finally community center. General practitioners could analyze related indices reply users along with report, which provides status daily care suggestions.
Introduction . Heart failure (HF) is a common and potentially fatal condition. Cardiovascular research has focused on medical therapy for HF. Theoretical modelling could enable simulation evaluation of the effectiveness medications. Furthermore, models also help predict patients’ cardiac response to treatment which will be valuable clinical decision-making. Methods This study presents fast parameters estimation algorithm constructing cardiovascular model medicine evaluation. The outcome HF...
Upper-Limb prosthesis control is a huge challenge for high-level amputees or amputated patients with weak residual muscles signal. Previous researches achieved the of by foot electromyography (EMG). However, low adaptability and gesture classification accuracy due to muscle movement device limits restrict performance. Therefore, this paper proposes flexible high-density wearable based on convolutional neural network gestures recognition. The stretches makes recognition process more accurate...
Individuals with high-level spinal cord injuries often face significant challenges in performing essential daily tasks due to their motor impairments. Consequently, the development of reliable, hands-free human-computer interfaces (HCI) for assistive devices is vital enhancing quality life. However, existing methods, including eye-tracking and facial electromyogram (FEMG) control, have demonstrated limitations stability efficiency. To address these shortcomings, this paper presents an...
The assessment of typicality is a vital aspect design evaluations. Based on the theories fuzzy semantic cell and feature prototype model (FPM), we proposed an objective method to measure typicality. Design was assessed based Euclidian distances between case its prototype. It could be calculated by mean distance prototypes features benchmark category in conceptual spaces. We validate this two experiments. analysis empirical experimental results, confirmed that promising approach quantify...