A5085442527- Smart Grid Energy Management
- Prosthetics and Rehabilitation Robotics
- Power Systems and Renewable Energy
- Tactile and Sensory Interactions
- Smart Grid and Power Systems
- Control and Dynamics of Mobile Robots
- Muscle activation and electromyography studies
- Hand Gesture Recognition Systems
- Advanced Algorithms and Applications
- Robot Manipulation and Learning
- Advanced Sensor and Energy Harvesting Materials
Shenzhen Institutes of Advanced Technology
2025
Chinese Academy of Sciences
2025
Zhengzhou University
2017-2023
Neuromuscular abnormality is the leading cause of disability in adults. Understanding complex interplay between muscle structure and function crucial for effective treatment rehabilitation. However, substantial deformation muscles during movement (up to 40%) poses challenges accurate assessment. To address this, we developed a wearable structural-functional sensing patch (WSFP) that enables synchronous analysis function. The WSFP incorporates soft, stretchable electrode array...
This paper presents the design and application of a vision-based flexible three-dimensional (3D) force sensor, specifically designed for measurement in field instrument measurement. The sensor utilizes visual information, employing highly elastic silicone as contact surface continuous marker patterns data source. By integrating vision system, captures image relies on novel deep learning model to achieve precise measurements forces. Experimental evaluation was conducted assess sensor’s...
Influenced by their loads and operation states, self- provided power plants may get from the grid or supply to grid. It is necessary measure on-grid energy off-grid respectively because of difference between price price. When a plant connected with two more substations in grid, ride-through flow be generated due influence operating states. crucial for accurate metering eliminate when measuring on- energy. A novel method judge state self-provided put forward this paper analyzing phenomenon...