BrainCo

Athlete wears FocusCalm during pre-game.

AI detects high Beta-wave anxiety.

App triggers a 3-minute guided neural-cooldown.

Heart rate and Alpha-waves synchronize.

Athlete enters game in optimal cognitive state.

Students wear FocusEdu headbands.

Real-time focus levels are sent to the teacher's tablet.

AI flags students whose attention drops below 30% for over 5 minutes.

Teacher adjusts instructional style or checks in with flagged students.

End-of-day reports show peak engagement times.

User imagines moving their hand.

BrainCo sensors detect EMG/EEG intent.

AI decodes intent into 8 distinct grip patterns.

Motor controllers execute movement in <200ms.

Haptic feedback provides sensory confirmation.

Employees use FocusCalm for 5-minute 'Brain Breaks'.

HR receives anonymized aggregate stress data.

System identifies 'High Stress Wednesdays'.

Company implements structural changes based on neural data.

Long-term wellness scores show 15% reduction in burnout.

User plays neuro-integrated games.

Game difficulty increases as focus decreases.

User learns to 'will' the focus score higher to win.

Neural pathways for sustained attention are strengthened over 12 weeks.

Progress is tracked via EEG trend-lines.

Researchers deploy 50 portable units to participants.

Data is logged locally and synced to cloud.

Researchers export CSV of raw EEG data.

ML models analyze group-level neural responses to stimuli.

Publication-ready data is generated at 1/10th the cost of lab EEG.

User performs 'Brain Dump' session with headband.

AI monitors the transition from Beta to Theta waves.

Connected smart-home lights dim as Theta waves dominate.

System logs 'Time to Sleep' efficiency.

User receives morning report on neural recovery.