Efficient Temporal Modeling for Mobile Sleep Staging via Lightweight Random Attention
2026-06-15T08:51:42Z•8189803ea79481f259f4773f714fc02f4f3e89bbb2bed2bd2a77c513901e9b8f
5g positioning6ghz wifi coexistencecarrier-phase positioningchannel state informationgnsshuman-pose-estimationimaging photoplethysmographymmwavenon-contact biometricsprivacyradarrfi-detectionsignal-processingsurveillancewifiwifi-6exl-mimo
What happened
Collection of recent signal-processing and wireless-sensing papers. Highlights include: (1) Random Attention (RA) — a lightweight temporal module for mobile sleep staging suited to wearables; (2) C-MambaPose — a complex-valued WiFi CSI-based 3D human pose estimator (code released) that preserves phase information and targets cross-environment robustness; (3) Dual-modality mmWave + imaging-PPG for contactless blood-pressure estimation demonstrating clinically-relevant error bounds in a small controlled study; (4) Mathematical asymptotics for the Pseudo Wigner–Ville Distribution for nonlinear-ch
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_eess_sp
- Record identifier
- 8189803ea79481f259f4773f714fc02f4f3e89bbb2bed2bd2a77c513901e9b8f
- Enrichment time
- 2026-06-15T08:51:42Z
- AI-assisted enrichment
- Yes
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