Dynamic Gesture Recognition Based on FMCW Millimeter Wave Radar: Review of Methodologies and Results

G Tang, T Wu, C Li - Sensors, 2023 - mdpi.com
As a convenient and natural way of human-computer interaction, gesture recognition
technology has broad research and application prospects in many fields, such as intelligent …

[HTML][HTML] Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods

C Nastos, P Komninos, D Zarouchas - Composite Structures, 2023 - Elsevier
A hybrid methodology based on numerical and non-destructive experimental schemes,
which is able to predict the structural level strength of composite laminates is proposed on …

Radarsnn: A resource efficient gesture sensing system based on mm-wave radar

M Arsalan, A Santra, V Issakov - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Radar offers a promising modality for enabling gesture recognition, which is a simple and
intuitive alternative to click and touch-based human–computer interface. In this article, we …

Stepped-Frequency Continuous-Wave Signal Processing Method for Human Detection Using Radars for Sensing Rooms through the Wall

R Kozlov, K Gavrilov, T Shevgunov, V Kirdyashkin - Inventions, 2022 - mdpi.com
The problem of detecting moving and stationary people in a room with a specialized radar
system sensing through the wall is considered in the paper. The high-range resolution of the …

Multi-Bin Breathing Pattern Estimation by Radar Fusion for Enhanced Driver Monitoring

A Gharamohammadi, M Pirani… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Monitoring the status of the driver is a crucial aspect of health monitoring inside vehicles as it
helps to identify potential health or safety risks that could affect a driver's ability to operate a …

Few-shot user-definable radar-based hand gesture recognition at the edge

G Mauro, M Chmurski, L Servadei… - IEEE …, 2022 - ieeexplore.ieee.org
Technological advances and scalability are leading Human-Computer Interaction (HCI) to
evolve towards intuitive forms, such as through gesture recognition. Among the various …

Power-efficient gesture sensing for edge devices: mimicking fourier transforms with spiking neural networks

M Arsalan, A Santra, V Issakov - Applied Intelligence, 2023 - Springer
One of the key design requirements for any portable/mobile device is low power. To enable
such a low powered device, we propose an embedded gesture detection system that uses …

Aircraft marshaling signals dataset of fmcw radar and event-based camera for sensor fusion

L Müller, M Sifalakis, S Eissa… - 2023 IEEE Radar …, 2023 - ieeexplore.ieee.org
The advent of neural networks capable of learning salient features from radar data has
expanded the breadth of radar applications, often as an alternative sensor or a …

Light-Weight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures

T Stadelmayer, Y Hassab, L Servadei… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
This article proposes a novel preprocessing technique for radar-based short-range gesture
sensing using a frequency modulated continuous wave (FMCW) radar. The preprocessing is …

FPGA implementation of two multilayer perceptron neural network in cascade for efficient real time hand gestures tracking

M Heidaryan - Microprocessors and Microsystems, 2023 - Elsevier
This paper presents implementation of a hand gestures tracking system with a fully
connected multilayer perceptron and a supervised sequential learning algorithm on low cost …