Presage Sense: Camera-Powered Wellness

Dr. T has introduced a novel wellness experience called Presage Sense, which utilizes a camera-powered wellness feature integrated into his Health Alert Mini platform. This innovative system employs the Presage SmartSpectra SDK to convert camera input into meaningful physiological signals, such as pulse rate, breathing rate, and heart rate variability (HRV). Rather than merely displaying these numbers, Presage Sense provides an interactive wellness experience.

Upon launching Presage Sense within the Health Alert Mini platform, users are greeted with a consent-first camera viewfinder that offers real-time visualization of optical signals. The system displays live pulse, breathing rate, and HRV indicators, accompanied by signal-quality feedback and camera-positioning guidance. A 4-4-4 box-breathing pacer guides users through a guided breathing exercise, while a subjective mood and perceived-stress check-in provides additional insights.

The platform also offers an optional session archive, where individuals can save their measured resting pulse, review it, and subsequently delete it. All session records are stored securely in the presage_sense_sessions collection, with user ownership and JSON export capabilities. Importantly, Presage Sense is not a standalone application but rather a dedicated experience within the Health Alert Mini platform, seamlessly connected to the existing health-navigation features while preserving other modules.

To ensure seamless integration, Presage Sense relies on the native Presage SmartSpectra Node SDK (v3.4.0) and utilizes native FFI integration with the SmartSpectra C ABI library on Linux x64, alongside custom RGB video-frame input. The application requests the desired physiological metrics and processes the returned metric payloads.

SmartSpectra-derived pulse measurements are presented in BPM, complete with rhythm-confidence and signal-quality feedback. In the event of insufficient signal quality, the interface provides guidance on camera positioning and lighting.

Breathing rate measurements, displayed in breaths per minute, enable users to observe their breathing patterns. Heart rate variability (HRV) is showcased as RMSSD in milliseconds when supported and sufficient measurement data is available, presented as an informational physiological measurement rather than a diagnosis or stress assessment.

The real-time interface combines optical signal visualization, measurement indicators, and signal-quality feedback, allowing users to adjust positioning, improve lighting, pause, or stop the session as needed. The 4-4-4 breathing pacer offers a guided breathing experience alongside the measurements. The backend initializes the native SDK, ingests camera-frame buffers, requests supported metrics, and decodes the returned protobuf payloads.

Gemini 3.8 Flash, an optional AI service, generates educational reflections from available physiological measurements and user-provided mood and perceived-stress check-in data.

Presage Sense is designed with a strong focus on user consent and data handling. Camera access is granted only after an explicit informed-consent workflow, with visible camera-active states and controls to pause, stop, or exit the measurement experience. Camera tracks are disposed of when the session ends, and session records are stored securely, with user ownership restrictions and Firebase security rules in place. API credentials remain server-side and are not exposed in frontend code, ensuring user privacy and security.