[HTML][HTML] Combinative model compression approach for enhancing 1D CNN efficiency for EIT-based Hand Gesture Recognition on IoT edge devices
Abstract Tiny Machine Learning is rapidly evolving in edge computing and intelligent
Internet of Things (IoT) devices. This paper investigates model compression techniques with …
Internet of Things (IoT) devices. This paper investigates model compression techniques with …
Ultra-fast edge computing approach for hand gesture classification based on eit measurements
Gesture-based robot control offers intuitive interaction between humans and robots, with
applications ranging from industrial automation to assistive robotics. However, existing …
applications ranging from industrial automation to assistive robotics. However, existing …
Exploring model compression techniques for efficient 1d cnn-based hand gesture recognition on resource-constrained edge devices
Tiny Machine Learning is undergoing rapid evolution in the context of edge computing and
intelligent Internet of Things (IoT) devices. This paper investigates the potential of model …
intelligent Internet of Things (IoT) devices. This paper investigates the potential of model …
FPGA-Based Adaptive Modeling Method for Modular Robots
Z Chen, C Zhao - China Intelligent Networked Things Conference, 2024 - Springer
With the development of modular robot technology, various forms of modular robots have
emerged, such as new unmanned ground vehicles (NUGV) and reconfigurable …
emerged, such as new unmanned ground vehicles (NUGV) and reconfigurable …