Utilizing gestures for human-machine interaction offers numerous benefits for both products and users. Hand Gesture Recognition (HGR) systems, particularly those using radar sensors, are gaining attention due to their potential for real-time applications. However, mainstream methods often rely on unrefined 2D or 3D radar signals, which are typically large and redundant, requiring the use of large neural network classifiers. This high computational demand limits their deployment on low-cost, resource-constrained edge platforms. In this paper, we propose a low-cost, close-range HGR system based on a 24 GHz Frequency Modulated Continuous Wave (FMCW) Multi-Input Multi-Output (MIMO) radar designed for resource-constrained environments. By applying beamforming, Constant False Alarm Rate (CFAR) target detection, and feature extraction, our experiments show that targeted signal processing on dimensions like range, velocity, and angle can effectively classify gestures. This approach achieves a recognition accuracy of 99.60% for four gesture types using a lightweight Conventional Neural Network (CNN). By focusing on efficient radar signal processing rather than complex neural networks, we successfully deployed the system on an embedded platform. The system achieved accuracy rates of 99.36%, 95.00%, and 95.64% for a well-trained user and two non-trained users, respectively.

FeRh alloys undergo an antiferromagnetic–ferromagnetic magnetoelastic transition accompanied by significant volume change, and thus exhibit giant magnetostriction. However, few studies have explored how Fe substitution for Rh affects the transition behavior, magnetostrictive properties, and the correlation between their respective variations in this system. Herein, we systematically explore the magnetoelastic transition behavior and magnetostrictive properties of the Fe_50+xRh_50−x (x = 0, 0.25, 0.5) alloys. Experimental results demonstrate that the magnetoelastic transition temperature decreases, whereas both magnetostriction and its associated magnetic field response sensitivity increase with increasing Fe substitution. These findings provide an effective route to optimize the overall magnetostrictive performance of FeRh based alloys.