A5089382457- Robotic Locomotion and Control
- Prosthetics and Rehabilitation Robotics
- EEG and Brain-Computer Interfaces
- Blind Source Separation Techniques
- Acupuncture Treatment Research Studies
- Reinforcement Learning in Robotics
- Soil Mechanics and Vehicle Dynamics
- Heart Rate Variability and Autonomic Control
- Context-Aware Activity Recognition Systems
- Healthcare Technology and Patient Monitoring
- Complex Network Analysis Techniques
- Neural Networks and Applications
- Vagus Nerve Stimulation Research
- Traditional Chinese Medicine Studies
- Supply Chain Resilience and Risk Management
- Economic and Technological Innovation
- Real-time simulation and control systems
- Non-Invasive Vital Sign Monitoring
- Control and Dynamics of Mobile Robots
- ECG Monitoring and Analysis
- Human auditory perception and evaluation
Beijing Institute of Technology
2022-2025
Beijing Institute of Education
2025
Institutes of Science and Development
2024
Chinese Academy of Sciences
2024
With the development of affective computing and Artificial Intelligence (AI) technologies, Electroencephalogram (EEG)-based depression detection methods have been widely proposed. However, existing studies mostly focused on accuracy recognition, ignoring association between features models. Additionally, there is a lack research contribution different to recognition. To this end, study introduces an innovative approach using EEG data, integrating Ant-Lion Optimization (ALO) Multi-Agent...
Abstract Due to their high mechanical compliance and excellent biocompatibility, conductive hydrogels exhibit significant potential for applications in flexible electronics. However, as the demand sensitivity, superior properties, strong adhesion performance continues grow, many conventional fabrication methods remain complex costly. Herein, we propose a simple efficient strategy construct an entangled network hydrogel through liquid–metal-induced cross-linking reaction, demonstrates...
The challenge of noncontact presentation human cardiopulmonary activity using a bioradar sensor is to linearly demodulate the Doppler diagram (DCD) signal from baseband signals. Arctangent demodulation can perform linear phase obtain DCD signal. However, high-order harmonics and intermodulation terms (ITs) caused by time-varying direct current (dc) offset in-phase quadrature-phase (I/Q) imbalance in signals significantly degrade signal-to-noise ratio (SNR) heartbeat (DHD) In this work, fast...
As one of the non-pharmacological methods for treating major depressive disorder (MDD), transcutaneous vagus nerve stimulation (tVNS) has been demonstrated to be utilized relieve depression symptoms. However, it is still a challenge evaluate therapeutic effect tVNS. The existing studies mainly use scales and subjective interviews assess treatment. limitation these that they do not provide precise real-time assessment efforts. To this end, we have integrated embedded systems machine learning...
Abstract Complex systems pose risks characterized by factors such as uncertainty, nonlinearity, and diversity, making traditional risk measurement methods based on a probabilistic framework inadequate. Supernetworks can effectively model complex systems, temporal supernetworks capture the dynamic evolution of these systems. From perspective network stability, aid in identification for In this paper, an IO-SuperPageRank algorithm is proposed supernetwork topological structure. This reveals...
Humanoid robots show the ability to replace humans for some dangerous tasks in complex environment. There are various motion types moving into environment like walking, rolling and crawling. However, higher centroid brings instability when humanoid execute walking motion. Rolling may cause damage crash robot's mechanical structure. Therefore, a crawling action with low-centroid less collision force is designed tasks. Firstly, structure our robot called BHR-FCR. BHR-FCR own 23-Degree of...