A Multi-Modal Dataset for Ground Reaction Force Estimation Using Consumer Wearable Sensors
arXiv 2603.28784•5d34d19f8aa36d9988a655c4cdfaaf2970d7ce096eab0e49a5ee397fe7fdc150
6GApple WatchCC BY 4.0CL-KLFRISIMUSA-cGANTransformerXL-MIMOactive vibrationdatasetforce platehybrid compressionliquid identificationnear-field channel estimationopen datapeak power forecasting','Temporal Fusion Transformer','AFDM','EPreconfigurable intelligent surfacessemantic communicationsemantic sensingsignal processingsmartphone sensingvGRFviscosity estimationwearable sensors
Paper metadata
- arXiv ID
- 2603.28784
- Version
- Not specified by this published record
- Category
- Electrical Engineering and Systems Science — Signal Processing (eess.SP)
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Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 5d34d19f8aa36d9988a655c4cdfaaf2970d7ce096eab0e49a5ee397fe7fdc150
- Enrichment time
- 2026-04-01T08:51:38Z
- AI-assisted enrichment
- Yes
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