A5065081417- Optical Imaging and Spectroscopy Techniques
- Heart Rate Variability and Autonomic Control
- Non-Invasive Vital Sign Monitoring
- EEG and Brain-Computer Interfaces
- Stroke Rehabilitation and Recovery
- Ergonomics and Musculoskeletal Disorders
- Digital Transformation in Industry
- Virtual Reality Applications and Impacts
- Service and Product Innovation
- Human-Automation Interaction and Safety
- Functional Brain Connectivity Studies
- Muscle activation and electromyography studies
- Color perception and design
- Technology and Human Factors in Education and Health
- Infrared Thermography in Medicine
- Autism Spectrum Disorder Research
- Blood Pressure and Hypertension Studies
- Video Surveillance and Tracking Methods
- Machine Fault Diagnosis Techniques
- Face recognition and analysis
- Artificial Intelligence in Healthcare and Education
- Vehicle Noise and Vibration Control
- Motor Control and Adaptation
- Assistive Technology in Communication and Mobility
- Technology Use by Older Adults
Shandong University
2016-2025
Software (Spain)
2024
Shandong Jianzhu University
2018-2022
Nanyang Technological University
2019-2021
Qilu Hospital of Shandong University
2018-2020
National Natural Science Foundation of China
2018
National Research Center for Rehabilitation Technical Aids
2018
Ministry of Civil Affairs
2018
This study investigates the impact of weight and centre mass (COM) position Head-Mounted Displays (HMDs) on subjective evaluation users during prolonged wearing tasks. involved 88 participants completing 1860 sets experiments under three conditions: sitting still, turning head, moving, providing evaluations HMDs. A static torque testing device was used to simulate neck flexion states. Using Aligned Rank Transform (ART) data, Multifactor Analysis Variance (MANOVA) conducted analyse...
The quest for scientifically effective rehabilitation methods stroke recovery constitutes an urgent need. However, due to the inadequacies of longitudinal studies and multimodal assessment methods, mechanisms such as Acupuncture Treatment (AT) Motor Imagery (MI) remain unclear. Consequently, this study presents both AT Synchronized with MI (ASMI) therapies, utilizing a combination subjective objective approaches evaluate long-term impacts these two treatment modalities. A design was adopted...
The rising incidence of stroke has created a significant global public health challenge. immersive qualities virtual reality (VR) technology, along with its distinct advantages, make it promising tool for rehabilitation. To address this challenge, developing VR-based upper limb rehabilitation systems become critical research focus. This study developed and evaluated an innovative ArmVR system that combines VR technology hardware to improve recovery outcomes patients. Through comprehensive...
Studies have shown that prolonged Human-Computer Interaction (HCI) fatigue can increase the risk of mental illness and lead to a higher probability errors accidents during operations. Virtual Reality (VR) technology simultaneously stimulate multiple senses such as visual, auditory, tactile, providing an immersive experience enhances cognition understanding. Therefore, this study collects multimodal data develop evaluation methods for HCI further explores fatigue-relieving effects VR by...
To reveal the physiological mechanism of cognitive decline in subjects with hypertension, functional connectivity (FC) was assessed by using wavelet phase coherence (WPCO), and effective (EC) coupling strength (CS) near-infrared spectroscopy (NIRS) signals. NIRS signals were continuously recorded from prefrontal cortex, sensorimotor occipital lobes 13 hypertensive patients (hypertension group, 70 ± 6.5 years old) 16 elderly healthy (control 71 5.5 resting standing periods. WPCO CS calculated...
Objective This study aimed to reveal the physiological mechanism in subjects with mild cognitive impairment based on effective connectivity method. Methods Effective was assessed by dynamic Bayesian inference of oxygenated hemoglobin concentration signals measured through functional near-infrared spectroscopy. The were recorded from left prefrontal cortex, right motor occipital lobe, and lobe 26 (mild group) 28 healthy elderly (control at resting state. Results coupling strength cortex ( F =...
In order to improve the attractiveness of social robot serving health interventions in public workspace, we propose a product design method with combination Style-generative adversarial network (StyleGAN) model and particle swarm optimisation-support vector regression (PSO-SVR). This paper aims explore modelling generation robots for intervention based on artificial intelligence generated content (AIGC) mapping between shape characteristics users' visual perception Kansei Engineering (KE)....
Increasing age and various pathological factors lead to cognitive function decline among the elderly.The most serious dysfunctions elderly include mild impairment (MCI), Alzheimer's disease (AD), vascular dementia (VAD).Cognitive training is an effective approach mitigate in function.Recent studies have confirmed that emerging methods using new technologies, such as virtual reality (VR) mobile phones, can be used effectively for training.This study functional near-infrared spectroscopy...
To reveal the physiological mechanism of decline in cognitive function after sleep deprivation, a within-subject study was performed to assess deprivation effects on phase synchronization, as revealed by wavelet coherence (WPCO) analysis prefrontal tissue oxyhemoglobin signals.Twenty subjects (10 male and 10 female, 25.5 ± 3.5 years old) were recruited participate two tests: one without (group A) other with 24 h B). Before test, each subject underwent subjective evaluation using visual...