A New Computing Layer, Built on the Human Body
Synheart’s technology transforms raw physiological signals into meaningful measures of human state — including emotion-related state, focus, cognitive load, and behavioral patterns — through a unified Human-State Interface (HSI). Our system combines advanced biosignal processing, multimodal fusion, and ultra-light edge models to deliver real-time human-state inference privately, ethically, and directly on-device.

From Signals to Human State
Synheart's architecture is a modular pipeline designed to convert multimodal biosignals into interpretable human-state outputs — without sending personal data to the cloud.
Collection
Collect normalized biosignals (HR, HRV, PPG, EDA, ACC) from wearable platforms and unified device APIs.
Inference
Run our on-device HSI models to derive emotion-related state indicators, focus load, cognitive effort, and motion-behavior cues in real time.
Fusion
Combine biosignals, motion patterns, and contextual cues into state-level scores (Emotion-Related Indicators, Focus Levels, Behavioral Indicators).
Reflection
Feed insights back into apps, agents, or analytics — enabling personalized interactions, UX research, adaptive systems, and human-state-aware AI.
The Language of the Body
Human-State Intelligence (HSI) is built on the science of mapping physiological rhythms to emotion-related, cognitive, and behavioral human-state indicators. Our models analyze fluctuations in HRV, EDA peaks, BVP amplitude, and motion signatures to understand patterns such as:
Stress-related activation ↔ regulation
Positive activation ↔ task engagement
Cognitive effort & attention
Micro-behavioral signals (stillness, restlessness, postural shifts, pacing)
Technical Highlights
Real-time HRV & frequency-domain feature extraction
Motion noise correction & artifact filtering
EDA peak-rate modeling
Multimodal fusion (HR + HRV + EDA + Motion)
Edge-optimized neural networks (BiLSTM, CNN Hybrid)
"Every heartbeat carries contextual signals. We just needed the tools to interpret them."
Privacy by Design. Performance by Science.
Our inference engine runs entirely locally on wearables and mobile devices. No raw biosignals, identifiers, or human-state indicators ever leave the device.
Key Technologies
HRV-Based Neural Networks
BiLSTM, CNN hybrid architectures
Lightweight Edge Architectures (<5MB models)
Optimized for mobile and wearable devices
Cross-Platform Compatibility (TF Lite, Core ML, ONNX)
Works across all major platforms
State & Focus Sandboxing (on-device protection)
Isolated processing environment
Benefits
No Data Leaves Device
Raw biosignals stay local
Millisecond-Level Inference
Real-time processing
Adaptive Learning Without Personal Data
Privacy-preserving personalization
Auditable, Transparent Processing
Full transparency and control
Human State Interface (HSI)
HSI = A Single, Traceable Human-State Signal
HSI is Synheart’s core abstraction: a unified interface that converts multimodal physiological signals into interpretable, traceable human-state indicators — designed for privacy-preserving, real-time systems. HSI is implemented and exposed through synheart-core, Synheart’s on-device SDK.
Key Inputs
Physiological signals — HR, HRV, EDA, motion, and related biosignals from wearables and device sensors
Derived state features — Emotion-related activation, cognitive load, focus stability, and behavioral dynamics (computed locally, not labeled or diagnosed)
Contextual motion & interaction signals — Micro-movement, stillness, restlessness, and temporal patterns
Output
HSI Signal — A normalized, continuous human-state signal representing current physiological and cognitive state
Aggregate state indicators — Signed, privacy-safe metrics suitable for real-time UX, adaptive systems, analytics, and research
Human-State AI Must Protect Human State Itself
Synheart systems are engineered for human-state privacy:
Local First
No cloud-based human-state inference
Transparent Data Flow
Auditable, user-level controls
Signed Metrics
Integrity without surveillance
Open Science
Peer-validated research
"Understanding Human State Should Never Come At The Cost Of Human Privacy."
From Signals to Empathy
Synheart technology bridges physiology, cognitive neuroscience, and human-state modeling. HSI expands beyond emotion — modeling focus, cognitive workload, and behavioral cues, enabling:
State-aware apps
Focus-responsive interfaces
Human-state-aware AI agents
Ethical adaptive systems
"The Future of AI Is Not Artificial — It's Human-State Aware."
— Synheart Labs
