通信学报2024，Vol.45Issue(6)：196-209,14.DOI:10.11959/j.issn.1000-436x.2024110
基于CSI实例标准化的域泛化人体动作识别模型
Domain-generalization human activity recognition model based on CSI instance normalization
摘要
Abstract
To achieve Wi-Fi cross-domain human activity perception that was not dependent on target domain data,a domain-generalization human activity recognition model based on CSI instance normalization called INDG-Fi was pro-posed.The instance normalization standardization was utilized to remove domain information from the representation of CSI features by INDG-Fi.Then action classifiers and domain classifiers were constructed for shared feature extraction.By employing activity bias learning and adversarial domain learning,the model biased the features extracted from the en-coding layer towards signal variations caused by human actions while moving away from domain signals.To enhance the model's focus on subcarrier signals that were more significantly influenced by human actions,a subcarrier attention mod-ule was incorporated into the encoding layer.The implemented results demonstrate that the proposed INDG-Fi achieves perceptual accuracies of 97.99%and 92.73%for unseen users and locations,respectively,thus enabling robust cross-domain perception.关键词
信道状态信息/无线感知/人体动作识别/域泛化Key words
channel state information/wireless sensing/human activity recognition/domain-generalization分类
信息技术与安全科学引用本文复制引用
王杨,许佳炜,王傲,夏慧娟,赵传信,季一木..基于CSI实例标准化的域泛化人体动作识别模型[J].通信学报,2024,45(6):196-209,14.基金项目
国家自然科学基金资助项目(No.61871412) （No.61871412）
江苏省重点研发计划基金资助项目(No.BE2023004-2) （No.BE2023004-2）
安徽省自然科学基金重点项目(No.KJ2019A0938,No.KJ2021A1314,No.KJ2019A0979)The National Natural Science Foundation of China(No.61871412),The Key Research and Development Pro-gram of Jiangsu Province(No.BE2023004-2),The Natural Science Foundation Key Project of Anhui Province(No.KJ2019A0938,No.KJ2021A1314,No.KJ2019A0979) （No.KJ2019A0938,No.KJ2021A1314,No.KJ2019A0979）
