A5029854921- EEG and Brain-Computer Interfaces
- Robotic Path Planning Algorithms
- Manufacturing Process and Optimization
- Emotion and Mood Recognition
- Robot Manipulation and Learning
- VLSI and FPGA Design Techniques
- Model-Driven Software Engineering Techniques
- Parallel Computing and Optimization Techniques
- Robotics and Automated Systems
- Gaze Tracking and Assistive Technology
- Heart Rate Variability and Autonomic Control
- Low-power high-performance VLSI design
- Sleep and Work-Related Fatigue
Peng Cheng Laboratory
2024
South China University of Technology
2018-2022
A key to optimize a user’s entertainment or learning experience when playing interactive games is understand his emotional responses. Current methods mostly exploit intrusive physiological signals detect player’s emotions. In this study, we proposed method emotions based on heart beat (HR) and facial expressions (FE). work, continuous recognition of HR FE through videos captured by Kinect2.0 conducted considering the perception human emotion. Bidirectional long short term memory (Bi-LSTM)...
Existing driving fatigue detection methods rarely consider how to effectively fuse the advantages of electroencephalogram (EEG) and electrocardiogram (ECG) signals enhance performance under noise conditions. To address issues, this article proposes a new type deep learning (DL) framework based on EEG ECG called product fuzzy convolutional network (PFCN). It should be noted that first investigates deal with conditions in both simulated real-field environments. Specifically, PFCN includes...
With the development of Industry 4.0, cooperation between robots and people is increasing. Therefore, man - machine security first problem that must be solved. In this paper, we proposed a novel methodology active collision avoidance to safeguard human who enters robot's workspace. conventional approaches obstacle avoidance, it not easy for humans work safely in common unstructured environment due lack intelligence. system, one Kinect employed monitor workspace robot detect anyone robot....
Open-source electronic design automation (EDA) shows promising potential in unleashing EDA innovation and lowering the cost of chip design. The open-source toolchain is a comprehensive set software tools designed to facilitate design, analysis, verification circuits systems. We developed physical (named iPD) from netlist GDS-II, including verification. iPD now covers whole flow (including floorplan, placement, clock tree synthesis, routing, timing optimization etc.), part analysis (timing...
Open-source EDA shows promising potential in unleashing innovation and lowering the cost of chip design. This paper presents an open-source project, iEDA, aiming for building a basic infrastructure technology evolution closing industrial-academic gap area. iEDA now covers whole flow physical design (including Floorplan, Placement, CTS, Routing, Timing Optimization etc.), part analysis tools (Static Analysis Power Analysis). To demonstrate effectiveness we implement tape out three chips...