A5005961093- Interconnection Networks and Systems
- CCD and CMOS Imaging Sensors
- Muscle activation and electromyography studies
- Hand Gesture Recognition Systems
- Embedded Systems and FPGA Applications
- Gait Recognition and Analysis
- Advanced Memory and Neural Computing
- Embedded Systems and FPGA Design
- Advanced SAR Imaging Techniques
- Non-Invasive Vital Sign Monitoring
- Embedded Systems Design Techniques
- Advanced Sensor and Energy Harvesting Materials
Korea Aerospace University
2023-2025
Recently, human-machine interfaces (HMI) that make life convenient have been studied in many fields. In particular, a hand gesture recognition (HGR) system, which can be implemented as wearable has the advantage users easily and intuitively control device. Among various sensors used HGR surface electromyography (sEMG) sensor is independent of acquisition environment, easy to wear, requires small amount data. Focusing on these advantages, previous sEMG-based systems several or complex...
Accidents caused by falls among the elderly have become a significant social issue, making fall detection systems increasingly needed. Fall such as internet of things (IoT) devices must be affordable and compact because they installed in various locations around house, bedrooms, living rooms, bathrooms. In this study, we propose lightweight method using continuous-wave (CW) radar sensor binarized neural network (BNN) to meet these requirements. We used CW sensor, which is more than other...
Sensor applications in internet of things (IoT) systems, coupled with artificial intelligence (AI) technology, are becoming an increasingly significant part modern life. For low-latency AI computation IoT there is a growing preference for edge-based computing over cloud-based alternatives. The restricted coulomb energy neural network (RCE-NN) machine learning algorithm well-suited implementation on edge devices due to its simple and recognition scheme. In addition, because the RCE-NN...