QIF-T0075
highUltrasonic sonar vital sign extraction (inaudible Doppler physiological sensing)
Tier 3 — Demonstrated (Lab-proven)
Legacy status: DEMONSTRATED
A phone or earbud speaker emits an inaudible continuous-wave ultrasonic tone (18-22 kHz, within transducer bandwidth but above human hearing threshold). The built-in microphone captures the reflected signal. Chest wall motion from breathing (amplitude: ~5mm) and heartbeat (amplitude: ~0.1mm) create Doppler shifts in the reflected ultrasound that are demodulable with standard DSP. The technique is: (1) covert — the ultrasonic tone is inaudible to the target, (2) contactless — works from across a room (demonstrated up to 0.5m for heart rate, several meters for respiration), (3) requires NO hardware modification — stock smartphone speakers and microphones are sufficient, and (4) can be deployed as a background process in any app with microphone permission. Google's Nest Hub Sleep Sensing and academic research (UltraSense, Nandakumar et al.) have demonstrated production-quality vital sign extraction via this method. Attack scenario: any app with mic access silently emits ultrasound and extracts heart rate, breathing rate, and movement patterns. Combined with QIF-T0079 (ear canal fingerprinting), the attacker gets identity + vitals from the same acoustic pipeline.
Technique Details
- Tactic
- QIF-S.HV
- Status
- DEMONSTRATED
- Bands
- S1, S2, S3
✚ Therapeutic Application
Inaudible ultrasonic continuous-wave emission from consumer speaker with Doppler shift analysis of reflected signal to extract cardiac and respiratory micro-movements
Clinical Analog
Contactless vital sign monitoring for sleep studies and elder care
Treats
- sleep apnea detection (FDA-cleared: Google Nest Hub)
- contactless infant breathing monitoring
- elder care fall detection and vital signs
- post-surgical respiration monitoring
Neural Impact
3 of 7 neural bands affected
Drag to rotate. Click a region to learn more.
Click or hover over a glowing region to see the attack techniques targeting it and their severity.
Scoring
NISS:1.1/BI:N/CR:N/CD:N/CV:E/RV:F/NP:N CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:L/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
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) | 1.4 | 1.4 | Low | - |
| Child (10yr) + ADHD | 1.4 | 1.6 | Low | +0.25 |
| Adult with ALS | 1.4 | 1.6 | Low | +0.23 |
Validation Status
Theoretical / Not yet validated. This technique has not been independently tested. See the validation dashboard for what has been tested.