Toward Unobtrusive In-Home Gait Analysis Based on Radar Micro-Doppler Signatures

Author:

Seifert Ann-KathrinORCID,Amin Moeness G.ORCID,Zoubir Abdelhak M.ORCID

Funder

Alexander von Humboldt-Stiftung

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Cited by 109 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Progressively-orthogonally-mapped EfficientNet for action recognition on time-range-Doppler signature;Expert Systems with Applications;2024-12

2. mP-Gait: Fine-grained Parkinson's Disease Gait Impairment Assessment with Robust Feature Analysis;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

3. SRCNN: Stacked-Residual Convolutional Neural Network for Improving Human Activity Classification Based on Micro-Doppler Signatures of FMCW Radar;Journal of Electromagnetic Engineering and Science;2024-07-31

4. Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey;ACM Transactions on Computing for Healthcare;2024-07-19

5. In-Home Cluttered Environment Gait Analysis using mm-Wave Radar;2024 IEEE MTT-S International Microwave Biomedical Conference (IMBioC);2024-06-11

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