0%Attention
Attention
0%
Meditation
0%
Link Quality
0%
Session
00:00:00
Recording Control
Start or stop EEG data collection and manage recording sessions
Duration: 00:00:00
Readings collected: 0Connect to NeuroSky device (or start your Python ThinkGear script) to start collecting real data
Low Alpha
8-10 Hz - Relaxed awareness
No Real Data
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High Alpha
10-12 Hz - Calm focus
No Real Data
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Low Beta
12-16 Hz - Relaxed attention
No Real Data
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High Beta
16-25 Hz - Active concentration
No Real Data
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Low Gamma
25-40 Hz - Cognitive processing
No Real Data
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High Gamma
40-100 Hz - High-level cognitive
No Real Data
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Delta
0.5-4 Hz - Deep sleep
No Real Data
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Theta
4-8 Hz - Deep meditation
No Real Data
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Raw EEG Signal
Unprocessed brainwave data from NeuroSky sensor
No real EEG signal detected
Connect to NeuroSky device to see authentic brainwave data
Smart Assistive Mobility System
AI-Powered Intelligent Mobility Assistant • Brain-primary, voice-backup
Brain: OfflineCommand: —Last voice: —
Voice Control
Backup command interface — takes over when brain signal is weak(currently primary)
Last Command
—
Say: forward, left, right, stop, sos, dock
Obstacle Avoidance + Auto Path Correction
Live ultrasonic + LIDAR fusion from ESP32 telemetry
Front
—
Front-Left
—
Front-Right
—
Left
—
Right
—
Rear
—
Auto-correction
straight
GPS Tracking
Real-time location via browser Geolocation API
Latitude—
Longitude—
Speed—
Heading—
Accuracy—
Waypoints0
Safe Zone
No safe zone set — alerts fire on breach once configured.
Destination
Trip
Battery Diagnostics
Waiting for battery telemetry from hardware…
Motor Diagnostics
Waiting for motor telemetry from hardware…
Blink Detection
Live blink sequence from the headset, forwarded through the ESP32
Waiting for EEG telemetry — make sure the Python blink-detection script is running and connected to the ESP32.
Smart Docking / Charging
Auto-docks when battery is low
Auto-dock when battery < 25%
Currently: 80%
Distance0.0 m
Alignment0°
Fall Detection
ESP32 IMU (with on-device motion as backup) — auto-triggers SOS on impact
X—
Y—
Z—
Acceleration magnitude
No data
Emergency SOS
Auto-fires on fall, or trigger manually. Sends location + patient info.
2 contact(s) configured
Caregiver Mobile App
Scan QR to open live monitoring on caregiver's phone
Patient
Patient
Brain-signal link
Disconnected
Battery
—
Location
—
This is a complete smart daily-living solution, not just a wheelchair. Brain-signal is the primary input (from the EEG dashboard above); voice, obstacle avoidance and fall detection provide additional autonomy and safety. Configure the Emergency SOS webhook to enable real SMS / caregiver alerting.