
Viva emits ultra-low signal hundreds of times per second

An antenna array collects reflected signals from the surroundings

An AI model detects humans and determines their position

System extracts subtle body movements
(as small as a human hair)

The second AI model derives heart rate and breathing rate

Data is checked for accuracy, then pushed to the cloud or user device

Form Factor
Dimensions: 80 × 80 mm (3.15 × 3.15 in)
Thickness: ≤ 20 mm (0.79 in) Weight: TBD (<100 g / <3.5 oz target)
Mounting: Desktop placement, clip-mount to fitness equipment, optional adhesive/Velcro
Power & Interfaces
Input: USB-C, 5 V / 1–2 A
Data: USB-C (firmware update & debug) Future option: BLE / Wi-Fi
Core Capabilities
RF-based sensing (proprietary signal processing)
Presence detection: seated/standing user within up to 1 m (3.3 ft)
Heart Rate (HR): contactless, continuous
Respiratory Rate (RR): contactless, continuous
Accuracy Targets
HR: ± 2–5 bpm
RR: ± 1–2 breaths/min
System Hardware
RF transceiver: proprietary front-end
Processor: Embedded MCU with DSP/AI acceleration
Memory: On-board flash + RAM Indicators:
Minimal LED for power/status (discrete design)
Software & Processing
On-device signal processing for HR/RR extraction
AI-driven motion filtering
APIs for fitness, health, and smart-building app integration
Environmental & Compliance
Operating temp: 0–40 °C (32–104 °F)
Certification: FCC / CE / IC (pending)
Privacy: No cameras or microphones; encrypted data
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