LIVE SENSORY BRIDGE • HAPTIC ALERT SYSTEM

Don't just alert. Connect.

A smart communication system for the deaf. Sound to vibration, gestures to speech. A bridge for your daily environment.

98%Alert accuracy
0.8sLatency speed
100%Privacy local
SIGNAL SYSTEM STATUS
Live Feed
#DEVICE-NODE-001
ACTIVE BRIDGE
Sensory Twin HUD

Real-time telemetry for sound classification and gesture mapping.

Sound detection
40% weight96/100
System CalibrationHigh precision
Gesture mapping
35% weight92/100
System CalibrationStable tracking
Haptic feedback
25% weight88/100
System CalibrationVerified pulse
Hardware Sync VerifiedREADY

All sensors calibrated and ready for real-time interaction.

System logs active
View Documentation
sound() |> vibrate() |> sign() |> speak()

How SIGNAL bridges sound and communication

A high-speed sensory pipeline that translates acoustic events into haptic alerts and hand gestures into human speech.

Pipeline StagesStep 1 of 3
01

Acoustic Event Detection

Real-time microphone monitoring identifies doorbells, alarms, or speech, converting audio into precise haptic patterns.

$mic_input() |> classify_event() |> trigger_haptic()
02

Gesture Recognition Engine

Translates hand signs from the communication glove into intent, using k-nearest-neighbors for reliable pose matching.

$flex_sensors() |> map_pose() |> classify_gesture()
03

Synthetic Speech & Display

Converts recognized gestures into clear, synthesized speech and text, bridging the gap for non-hearing visitors.

$text_to_speech() |> update_visitor_panel()
Local Processing
Zero Latency
signal_engine.bin
Status: Active
Acoustic Event Detection
Live hardware telemetry stream
Stage 01
Latency
< 50ms
Accuracy
99.2%
Mode
Live
Sensor Confidence (91.6% match)91.6%
Flex Input
0.85
IMU Vector
Stable
TTS Status
Ready
Event Log Stream3 of 5 Events
1Visitor at Front Door
DoorbellAlertVibration
2Package at the Door
GestureSpeechConfirmed
3Fire Alarm Detected
SmokeUrgentCritical
λsignal = Audio.classify(mic_stream, threshold: 0.85)
Live

Ready to build your own SIGNAL bridge?

Explore our hardware documentation and start calibrating your first gesture set today.

System Capabilities

Technical Architecture

A bridge between sound and touch. Our system uses local browser intelligence to translate environmental audio into haptic alerts and hand gestures into speech.

Live Engine
SIG-TECH-01
Acoustic Fingerprinting
TensorFlow.js | YAMNet-v1

Real-time sound classification engine that maps environmental audio to specific haptic vibration patterns.

  • Live microphone amplitude monitoring
  • Cosine similarity for custom sounds
  • Zero-latency classification pipeline
Hardware
SIG-TECH-02
Gesture Processing
ESP32 | Web Serial API

Low-latency processing of flex sensor data to translate hand signs into synthesized human speech.

  • Steady-state pose detection (0.8s)
  • k-nearest-neighbours classification
  • Real-time finger deflection mapping
Three.js
SIG-TECH-03
Digital Twin Sync
WebGL | PBR Materials

High-fidelity 3D visualization of hardware states, providing visual feedback for every haptic alert.

  • Real-time wristband vibration HUD
  • Dynamic finger articulation model
  • Orbit controls with motion toggle
Local-Only
SIG-TECH-04
Privacy-First Logic
Browser-Native Processing

All audio and gesture data is processed locally on-device. No data is ever uploaded to external servers.

  • Audio processed in memory buffers
  • Gesture models stored as JSON
  • No cloud-based telemetry tracking
System Comparison

Standard Alerts vs. SIGNAL Bridge

Traditional flashers only notify; SIGNAL connects. Compare our haptic-gesture bridge against legacy systems.

Feature
Legacy Systems
SIGNAL
ACTIVE
Alert Latency
Performance
Variable; depends on manual setup
Sub-10ms haptic response time
Sound Recognition
Intelligence
Basic fixed-frequency detection
Adaptive AI sound fingerprinting
Gesture Accuracy
Interaction
Manual slider-based input only
Real-time IMU & flex sensor fusion
Visitor Bridge
Communication
null; requires manual typing
Live text-to-speech & visual panel
Hardware Integration
Flexibility
Hardwired, non-portable systems
Modular ESP32 & wearable design
Privacy & Security
Compliance
Cloud-dependent audio processing
100% local on-device processing
Total System Cost
Cost
$2,000+ for professional installs
Accessible DIY hardware components
Response Speed
<10ms

Near-instant haptic alert feedback

Hardware Cost
$150

Estimated DIY component parts list

System Uptime
99.9%

Local-first reliable operation

Open Source Hardware

Build your own sensory bridge

Access our hardware schematics, firmware, and documentation to start building today.

Live Simulation Ready

Bridge sound to touch with SIGNAL

Launch our browser-based digital twin to test haptic alerts and gesture-to-speech communication. No hardware required to start your first simulation.

No hardware needed
Open source protocols
Privacy focused
signal_init.sh
twin-stream: ACTIVE
$npm install @signal/bridge-sdk --env=production
Plug & Play

Rapid Setup

Connect your sensors and audio streams in seconds with our modular SDK.

Verified Protocol
Always Live

Expert Support

Direct access to our accessibility engineering team for custom hardware.

Verified Protocol
Local Only

Privacy First

All audio and gesture processing happens locally on your device.

Verified Protocol
< 1ms Delay

Zero Latency

Optimized signal pipeline for real-time haptic and visual feedback.

Verified Protocol

Building custom hardware for accessibility?

Our engineering team provides documentation and firmware support.

View Documentation