zap
Warning before error
Decreased attention is visible in EEG before it is in behavior — there is time for a break or substitution.
Use case
12-month warranty
Support in Russian
Attention monitoring and cognitive load
Use case for industry, transportation, and security: real-time objective assessment of operator state — via wireless EEG without stopping work.
Official Emotiv supply
Delivery across Russia
Training and support
up to 20 hInsight operation on one charge — a full shift
<1 sreal-time attention metric latency
IMUhead motion context for artifact correction
APImetrics available to your monitoring dashboard
About the use case
What it is and how it works
Attention monitoring is the continuous assessment of a person's cognitive state during work: the EEG headset calculates attention, engagement, and load indices in real time, and your system receives them via API and raises a signal when the performer starts to 'drift'. Unlike video surveillance and questionnaires, EEG shows a decrease in concentration before an error, not after it.
Technologically, the solution is simple: a wireless headset with dry or semi-dry sensors is worn under a hat or helmet, the signal is processed on a local computer or gateway, and metrics go to your dashboard. The IMU filters out motion artifacts, and micro-disconnections do not ruin the recording—the buffer restores the stream. For long shifts, autonomy is critical: the Insight works for up to 20 hours on a single charge.
We implement such solutions in control rooms, simulators, and test sites: help choose a headset to match dress code and conditions, configure warning thresholds, and integrate metrics into existing monitoring systems. All accompanied by training and support in Russian.
Metrics
What do we measure in this use case
Key signal indicators on which the methodology is built: from basic EEG rhythms to derived indices.
Attention index
probabilistic concentration assessment from EEG — primary signal for triggers
Engagement
level of task engagement; drop indicates monotony or overload
Cognitive load
balance of rhythms, reflecting the complexity of the task being processed
Stress level
complements the picture in stress-inducing sectors and emergency modes
Drowsiness markers
increase in theta activity as an early sign of operator drowsiness
Head movements (IMU)
artifact filtering and posture control without additional sensors
Implementation
How it works
1
Task audit
Breaking down the use case: shift, environment, critical states, existing systems. We form requirements for the metrics.
2
Pilot
We set up a pilot circuit for 2–5 workstations: headsets, gateway, metrics panel. We gather statistics on your processes.
3
Threshold calibration
Based on real data, we configure alert thresholds so operators receive signals timely and without false alarms.
4
Integration
We connect the metrics API to your SCADA/panel or our dashboard, configure roles and notifications.
5
Volume and support
We scale to departments, train responsible personnel, and maintain equipment according to regulations.
Equipment
Recommended devices for this use case
Configurations that most often solve the use case — with a transition to full specifications and photos.
EEG headsetInsight
up to 20 hours battery life and semi-dry sensors — comfort for multi-hour shifts
Features and photos →
EEG headsetMN8
compact in-ear headset under helmet and headwear — unobtrusive and doesn't interfere with PPE
Features and photos →
EEG headsetEPOC X
14 channels and 2048 Hz digitization — when you need your own algorithms on top of the raw signal
Features and photos →Benefits
What you get
shield
Objectivity
Metrics are independent of self-report: you see the actual state, not 'everything is normal'.
sync
Integration with your systems
API and LSL allow you to integrate metrics into SCADA, dashboards, and occupational safety systems without rewriting processes.
mobile
Comfort under PPE
Compact headsets are compatible with helmets and headphones — they don't conflict with safety equipment.
bar
Shift statistics
Accumulated data show dangerous intervals and points of monotony — material for reorganizing schedules.
chat
Turnkey implementation
From pilot to production: selection, training, maintenance protocols — in Russian.
FAQ
Frequently asked questions about the 'Attention Monitoring' use case
Can an operator be monitored for an entire shift?
Yes: Insight offers up to 20 hours of battery life, semi-dry sensors don't require gel updates. For ultra-long tasks, we use a schedule of short breaks for sensor contact checks — the procedure takes seconds.
How is EEG compatible with a helmet and headphones?
Compact models (MN8, Insight) fit under headgear: sensors in the ear area and forehead don't conflict with most PPE. For non-standard helmets, we help with fitting during a pilot project.
Where do metrics go and with what delay?
Metrics are calculated locally and transmitted to your system via API/LSL with less than one second delay. Raw EEG can be simultaneously archived for incident review.
Will there be false positives?
Thresholds are calibrated during a pilot based on your processes: individual characteristics, movements, and operating modes are considered. IMU helps filter motion artifacts.
Is this employee surveillance?
The solution works within the occupational safety framework: the goal is to prevent dangerous states, not to assess personality. We recommend transparent regulations: what is measured, who sees the data, and how it is stored.
How much does implementation cost?
Cost includes equipment and integration work. Send a description of your task — we will prepare a quote with configuration and timelines within a business day.
Emotiv equipment is not a medical device and is intended for research, development, and wellness scenarios. Device names belong to their respective owners.
We'll configure a solution for your use case
We'll send a quote with equipment, software, and timelines — within one business day. A phone consultation takes 10 minutes.