QIF-T0098
criticalWiFi + camera passive surveillance fusion (through-wall presence detection with visual identification)
Tier 4 — Demonstrated (Case Study / Observational)
Legacy status: EMERGING
WiFi CSI (T0090) provides through-wall presence detection, vital signs, and coarse pose estimation but cannot visually identify targets. Cameras (T0084) provide visual identification and remote PPG but require line of sight. By fusing WiFi CSI and camera data, an attacker achieves persistent surveillance that combines the strengths of both: WiFi tracks targets through walls and identifies them by body shape/gait, while cameras provide visual identification when line of sight is available. The fusion enables: handoff tracking (camera identifies person entering a building, WiFi CSI tracks them inside), activity recognition (WiFi CSI classifies activity, camera confirms), and vital sign correlation (WiFi breathing rate + camera heart rate). Zhao et al. (2018) demonstrated that WiFi signals alone can reconstruct 2D human poses comparable to visual skeleton tracking. This creates a surveillance system that requires no devices on the target and works through physical barriers.
Technique Details
- Tactic
- QIF-S.CH
- Status
- EMERGING
- Bands
- S1, S2, S3
✚ Therapeutic Application
Fusion of WiFi CSI through-wall sensing with camera-based visual identification for persistent surveillance that works through physical barriers
Clinical Analog
Ambient assisted living for elderly monitoring
Treats
- elderly fall detection (through-wall + visual confirmation)
- dementia patient monitoring in care facilities
- post-surgical recovery activity monitoring
Neural Impact
3 of 7 neural bands affected
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Scoring
NISS:1.1/BI:N/CR:N/CD:N/CV:I/RV:F/NP:N CVSS:4.0/AV:A/AC:L/AT:P/PR:H/UI:N/VC:H/VI:N/VA:N/SC:H/SI:N/SA:N Governance
Neurorights at Risk
This technique threatens 2 of the 4 proposed neurorights (Ienca & Andorno, 2017).
FDORA §3305 Compliance
- ! CVSS partially captures risk; neural dimensions missing
- ! No FDA pathway for consumer sensor exploitation
Population Vulnerability
CRB vulnerability adjustment (γ=0.30) accounts for age, diagnosis severity, consent capacity, and device dependency.
| Population | NISS Base | Adjusted | Severity | Delta |
|---|---|---|---|---|
| Adult (Default) | 2.0 | 2.0 | Low | - |
| Child (10yr) + ADHD | 2.0 | 2.4 | Low | +0.35 |
| Adult with ALS | 2.0 | 2.3 | Low | +0.32 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.