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.

Synheart Wear

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