A New Computing Layer, Built on the Human Body
Synheart introduces the infrastructure layer that transforms raw physiological and behavioral signals into meaningful, structured measures of human state across physiological, cognitive, and affective dimensions through a unified Human State Interface (HSI). Built on advanced biosignal processing, multimodal fusion, and on-device inference, HSI delivers real-time human state intelligence privately and reliably without raw data ever leaving the source.
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From Signals to Human State
Synheart's infrastructure is a modular pipeline designed to convert multimodal raw signal inputs into interpretable human-state outputs.
Collection
Physiological and behavioral signals are gathered from wearable devices and sensor platforms. These may include heart-related signals, motion data, and other biosignals.
Inference
On-device processing extracts relevant features and derives intermediate representations related to cognitive, emotional, and behavioral states.
Fusion
Multiple signal sources are combined to produce higher-level indicators that summarize the user’s current state.
Reflection
These indicators are made available to applications, enabling adaptive interfaces, analytics, and human-aware systems.
Interpreting Human State
The system is grounded in the idea that physiological patterns correlate with cognitive and behavioral processes. By analyzing temporal dynamics and signal variations, it can capture patterns such as:
Activation and regulation dynamics
Task engagement and attention
Cognitive effort and workload
Behavioral tendencies such as stillness or restlessness
Technical Highlights
Feature extraction from physiological signals
Signal processing and noise correction
Multimodal data integration
Lightweight models optimized for real-time, on-device inference
"All computation is designed to run locally, ensuring low latency and strong privacy."
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