A Novel Interference Suppression Method for Gesture Recognition Based on Frequency Hopping

Gesture recognition shows significant applicable values in intelligent connected vehicles (ICVs). However, gesture recognition for in-vehicle interaction faces the challenge of the complex interior environment. To tackle this problem, we present a novel interference suppression method for gesture recognition, which uses frequency hopping (FH) of SparkLink Low Energy (SLE). The experimental results show that the proposed method achieves an overall accuracy of $\mathbf{9 4 \%}$, while the accuracy of the single frequency band method reaches only 89.06%.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10880855
Primary Topic
Hand Gesture Recognition Systems
Type
article
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article

A Novel Interference Suppression Method for Gesture Recognition Based on Frequency Hopping

Zengshan Tian, Feifei Wang, Yufan Wang, Wei He et al.
Hand Gesture Recognition Systems
article

A Novel Interference Suppression Method for Gesture Recognition Based on Frequency Hopping

Zengshan Tian, Feifei Wang, Yufan Wang, Wei He, Yue Jin
article en

Abstract

Gesture recognition shows significant applicable values in intelligent connected vehicles (ICVs). However, gesture recognition for in-vehicle interaction faces the challenge of the complex interior environment. To tackle this problem, we present a novel interference suppression method for gesture recognition, which uses frequency hopping (FH) of SparkLink Low Energy (SLE). The experimental results show that the proposed method achieves an overall accuracy of $\mathbf{9 4 \%}$, while the accuracy of the single frequency band method reaches only 89.06%.

Chongqing University of Posts and Telecommunications (CN), Chongqing Jiaotong University (CN)
Openalex Percentile: Top 72%
Hand Gesture Recognition Systems
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A Novel Interference Suppression Method for Gesture Recognition Based on Frequency Hopping — Zengshan Tian, Feifei Wang, et al. · (2024) | TGRS Research Map | TGRS