电子学报2025，Vol.53Issue(8)：2738-2749,12.DOI:10.12263/DZXB.20250096
基于LoRa信号的实时手势识别算法
Real-Time Gesture Recognition Algorithm Based on LoRa Signals
摘要
Abstract
To address the real-time gesture recognition problem in occluded environments,this paper proposes a real-time gesture recognition algorithm based on long range radio(LoRa)signals.By utilizing the low frequency band and good penetration of LoRa signals,this algorithm calculates the signal ratio using two receiving antennas,and combines short-time Fourier transform(STFT)to obtain time-frequency maps containing hand motion features.These maps are processed by a neural network encoder called the Gesture Encoder,generating feature vectors that represent the gesture characteristics,which are then used for gesture classification and recognition.This algorithm effectively solves the recognition problem in scenarios with object occlusion,and introduces a system state transition machine(STM)and data augmentation methods to precisely control the start and end times of gestures,thus enabling automatic segmentation and real-time recognition.At last,the system is deployed on an edge computing device running Android,and tested in occlusion scenario.Experimental results show that the proposed gesture recognition system can efficiently and accurately complete gesture classification on edge devices,with strong practical value and application prospects.关键词
射频感知/手势识别/实时推理/信号处理/神经网络Key words
radio frequency sensing/gesture recognition/real-time inference/signal processing/neural networks分类
信息技术与安全科学引用本文复制引用
韩崇,杜昊,郭剑,孙力娟..基于LoRa信号的实时手势识别算法[J].电子学报,2025,53(8):2738-2749,12.基金项目
国家自然科学基金(No.62272242) National Natural Science Foundation of China(No.62272242) （No.62272242）
