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Lobi

Desktop focus feedback built on MediaPipe Face Landmarker landmarks in the browser (src/tracker.js), an internal focus model surfaced as the fried-flow scale (Fried, Steady, Locked In) in src/insights.js, and tunable constants in src/neurogaze-config.js (single source of truth for thresholds and weights).

This document describes exactly what is computed in code and why those quantities are used.


Pipeline overview

  1. Video → Face Landmarker runs about every 67 ms (~15 Hz) on a 640×480 stream.
  2. Per frame, raw geometric signals are derived from normalized landmark coordinates ((x,y)\in[0,1]^2) (image space; (y) increases downward).
  3. Rolling means (length FEATURE_MA_WINDOW) smooth pose and auxiliary scalars unless a motion gate says the head/eyes are moving too fast (then smoothing buffers are frozen except on the first sample after a reset).
  4. InsightEngine.update consumes the tracker output, maintains internal timers and a PERCLOS-like buffer, then applies the focus model at SCORE_TICK_HZ (asynchronous from raw frame rate).

All symbol names below match neurogaze-config.js unless noted.


Vision stack

  • Detector: Google MediaPipe Tasks Vision Face Landmarker (float16 model), VIDEO mode, one face, GPU delegate when available.
  • Why: Stable, real-time 2D/3D-ish facial landmarks without shipping a custom vision model; suitable for continuous monitoring.

Face quality gate (geometryReliable)

Before any score logic trusts a frame, faceGeometryReliable requires:

  • Inter-ocular width (d_x = |x_{263}-x_{33}|) in ([FACE_MIN_INTER_EYE, FACE_MAX_INTER_EYE]).
  • Face height (d_y = |y_{152}-y_{10}|) ≥ FACE_MIN_HEIGHT.

Why: Rejects tiny faces, partial crops, and extreme perspective where later ratios (pitch, roll, EAR) are unstable.


Eye Aspect Ratio (EAR)

We use the six-point EAR layout from the blink / drowsiness literature: P1–P6 label the 2D eye landmarks, with P1–P4 spanning eye width and P2↔P6, P3↔P5 forming two vertical pairs for eye height (open vs closed), as in Dewi et al., Figure 2 — open and closed eyes with facial landmarks (P1…P6) (Electronics 2022, 11(19), 3183).

Per eye (Euclidean distances in normalized image coordinates):

[ \mathrm{EAR}_{\mathrm{eye}} = \frac{|P_2-P_6| + |P_3-P_5|}{2,|P_1-P_4|} ]

In code (earFromSixLandmarks), the landmark array is ordered ([P_1, P_2, P_3, P_4, P_5, P_6]) → MediaPipe indices:

Point Left eye (LEFT_EYE_6) Right eye (RIGHT_EYE_6)
(P_1) 33 362
(P_2) 160 385
(P_3) 158 387
(P_4) 133 263
(P_5) 153 373
(P_6) 144 380

Tracker uses bilateral mean (\mathrm{EAR} = (\mathrm{EAR}_L + \mathrm{EAR}_R)/2).

  • Blink / closed: (\mathrm{EAR} < \texttt{EAR_THRESHOLD}) with EAR_THRESHOLD = 0.2 only (one global cutoff in neurogaze-config.js).
  • Note: The value passed into insights for PERCLOS is the per-frame EAR (not the moving-average buffer); the MA buffers in the tracker are used for smoothed pose/aux outputs, not for re-exporting EAR.

Why: EAR is a standard, lightweight proxy for eye openness from landmarks, used for blinks and drowsiness-style signals without iris segmentation.


Head pose proxies (2D geometry)

Let face height (f_h = |y_{152}-y_{10}|) (chin–forehead), inter-eye width (f_w = |x_{263}-x_{33}|), eye midpoints in (x) and (y), nose tip index 4.

Pitch (chin-down / "downward attention" proxy)

[ \text{pitch} = \frac{y_{\mathrm{nose}} - \frac{y_{10}+y_{152}}{2}}{f_h} ]

Larger positive pitch ⇒ nose shifted down relative to face box ⇒ looking down (keyboard/phone-like) in this coordinate convention.

Yaw (side turn, normalized)

[ \text{yaw} = \frac{x_{\mathrm{nose}} - x_{\mathrm{eyeMid}}}{f_w} ]

Used for pose grace (suppresses pitch/roll penalties on extreme turns) and T_yaw distraction (single-monitor only — see below).

Roll (head tilt)

Roll is the angle of the outer-eye segment vs horizontal:

[ \text{roll} = \mathrm{atan2}(y_{263}-y_{33},, x_{263}-x_{33}) ]

Why: Roll captures "head on desk / sideways phone" style tilt; pitch captures "looking down"; yaw helps suppress false positives when the user is still engaged but turned toward another monitor.

Smoothed values pitchSmoothed, yawSmoothed, rollRadSmoothed are arithmetic means over the last FEATURE_MA_WINDOW accepted samples (see motion gate).


Chin-down latch (chinDown)

Hysteresis on smoothed pitch:

  • Latch on if pitchSmoothed > HEAD_PITCH_CHIN_DOWN_ONSET (0.185).
  • Latch off if pitchSmoothed < HEAD_PITCH_CHIN_DOWN_RELEASE (0.125).

chinDown is true only if latched and |yawSmoothed| < HEAD_YAW_MAX_FOR_CHIN_DOWN (0.44).

Why: Hysteresis avoids flicker from landmark noise. Yaw cap avoids treating a side glance at another screen as "phone down" when pitch is projection-skewed.


Look-up proxy (lookUpNorm)

Let gap (= (y_{\mathrm{nose}} - y_{\mathrm{eyeMid}}) / f_h) (nose below eyes in normal forward pose makes this positive).

[ \text{fromGap} = \max(0,; \texttt{LOOK_UP_GAP_BASELINE} - \text{gap}) ] [ \text{fromPitch} = \max(0,; \texttt{LOOK_UP_PITCH_DEADBAND} - \text{pitch}) \times \texttt{LOOK_UP_PITCH_GAIN} ] [ \text{lookUpNorm} = \min(0.4,; \text{fromGap} + \text{fromPitch}) ]

Why: When the user tilts back (ceiling / "away" gaze), the nose–eye vertical gap shrinks and pitch goes more negative in this formulation; the metric flags that distinct from chin-down.


Lip opening (lipNorm)

[ \text{lipNorm} = \frac{|y_{14}-y_{13}|}{f_h} ]

Why: Large sustained mouth opening is used as a yawn / jaw fatigue cue.


Iris / gaze motion gate (concentrationFrameTrusted)

When eyes are open, the tracker stores the midpoint of both irises (indices 468/473) if available, else eye-region fallback, in a 1.5 s buffer. Over the last ANALYSIS_WINDOW_MS (500 ms) it computes mean normalized speed between consecutive samples (skips (\Delta t > 200) ms).

If there are at least 4 samples and mean speed > MOTION_GATE_MEAN_SPEED (0.28), the frame is motion-heavy: feature MA buffers do not update, and concentrationFrameTrusted becomes false when combined with open eyes.

Why: Rapid eye/head motion makes single-frame landmarks a poor proxy for "steady work"; gating avoids punishing or smoothing across meaningless jitter.


Blinks

  • Transition closed (EAR < threshold) records blinkCloseStart.
  • On reopening, if duration ∈ (50 ms, 800 ms], blinkJustCompleted is set and lastCompletedBlinkDurationMs stored.

Blink events feed the Eye Comfort subscore (see below).


PERCLOS-like proxy (perclos)

Not full PERCLOS (percentage of eyelid closure); a binary window:

  • Each frame with a face: append 1 if (\mathrm{EAR} < \texttt{EAR_THRESHOLD}), else 0, to a FIFO of length PERCLOS_WINDOW (45 samples ≈ ~3 s at ~15 Hz).
  • (\texttt{perclos} = \frac{\sum \text{samples}}{N}), the fraction of "closed" frames in the window.

Why: Mirrors the spirit of PERCLOS—proportion of time eyes appear closed—as a fatigue/droopiness signal without specialized eye cameras.


Sustained off-task timers

All four timers share the same accumulate/decay pattern: they tick upward on trusted frames with eyes open and the relevant signal active, and decay back to zero when the signal clears.

(T_{\mathrm{off}}) — chin-down dwell (phone / reading-down proxy)

Accumulates while chinDown, concentrationFrameTrusted, and eyes openish. Decays at T_OFF_DECAY_PER_SEC when not chin-down.

Three-tier ramp gPhone(T, perclos):

  • [0, 8 s): soft tier — G_PHONE_ALPHA · T · eyeBlend(perclos) where eyeBlend = EYE_BLEND_MIN + (1−EYE_BLEND_MIN)·perclos; awake users register at 55% strength (raised from 28% to make short phone checks register sooner).
  • [8, 18 s): confirmed tier — adds G_PHONE_BETA · (T−8).
  • 18 s+: exponential tail — G_PHONE_GAMMA · (exp((T−18)/τ) − 1).

Why: Tightened from 15 s / 30 s windows so brief sustained looks-down register meaningfully rather than requiring 15–30 s of continuous distraction.

(T_{\mathrm{roll}}) — sustained head roll

Accumulates while rollSeverity(roll) × poseGrace(|yaw|) > 0, trusted, eyes openish. Decays at T_ROLL_DECAY_PER_SEC.

Three-tier ramp gRoll(T) with G_ROLL_* and T_ROLL_* constants. Currently tracked but not used in scoring (available for future reintroduction).

(T_{\mathrm{look}}) — sustained look-up

Accumulates while lookUpSeverity(lookUp) ≥ LOOK_UP_SEVERITY_ONSET, trusted, eyes openish. Decays at T_LOOK_DECAY_PER_SEC.

Three-tier ramp gLook(T). Currently tracked but not used in scoring (available for future reintroduction).

(T_{\mathrm{yaw}}) — sustained lateral gaze (single-monitor only)

Accumulates while |yaw| ≥ T_YAW_ONSET_NORM (0.36, roughly 20°+), trusted, eyes openish, and hasMultipleMonitors is false. When multiple monitors are detected via the Electron screen API, T_yaw decays immediately and contributes nothing to scoring.

Three-tier ramp gYaw(T) with G_YAW_* and T_YAW_* constants, 2 s grace window before accumulation starts.

Why: Repeated sideways glances on a single monitor signal distraction (phone to the side, looking around the room). Multi-monitor users — including laptop + external display — are explicitly excluded because a sustained high yaw angle simply means they're working on their other screen.


Multi-monitor detection

On startup and whenever a monitor is plugged or unplugged, the Electron main process calls screen.getAllDisplays() and pushes the count to the renderer via IPC. The dashboard stores this as displayCount and passes hasMultipleMonitors: displayCount > 1 into every InsightEngine.update() call.

A laptop with one external display counts as 2 displays, correctly suppressing yaw penalties.


Fried-flow model (InsightEngine)

The score is a three-component average, each subscore 0–100, evaluated at SCORE_TICK_HZ (8 Hz) when calibrated and concentrationFrameTrusted.

Eye Comfort (blink rate)

Tracks how often the user blinks against a 15 BPM healthy baseline (stored as EYE_COMFORT_BASELINE_BPM). Screen workers typically blink 3–8× per minute, well below this target.

  • Blinks are recorded in a 45 s rolling window (EYE_COMFORT_WINDOW_MS).
  • Current BPM is EMA-smoothed toward the raw window rate (α = 0.18 per frame).
  • A 7 s grace (EYE_COMFORT_GRACE_MS) after calibration completes holds the score at 100 while the window fills.
  • Deficit = max(0, baseline − smoothedBpm). If deficit > 0, score decays at min(EYE_COMFORT_MAX_DECAY_PER_SEC, EYE_COMFORT_DECAY_K · ratio²) per second (quadratic — small deficits decay slowly, large deficits faster). If deficit ≤ 0, score recovers at EYE_COMFORT_RECOVER_PER_SEC per second.

Engagement (phone distraction + lateral gaze)

[ \text{engagementScore} = 100 \times (1 - \mathrm{clamp01}(\text{phoneBad} + \text{yawBad})) ]

Where:

[ \text{phoneBad} = \mathrm{clamp01}!\big(f_{\text{pitch}}(\text{pitch}) \times \text{poseGrace}(|yaw|) \times g_{\text{phone}}(T_{\mathrm{off}}, \text{perclos}) \times \text{gate}\big) ]

[ \text{yawBad} = \begin{cases} 0 & \text{if hasMultipleMonitors} \ \mathrm{clamp01}(g_{\text{yaw}}(T_{\mathrm{yaw}}) \times \text{gate}) & \text{otherwise} \end{cases} ]

Eye gate: (\text{gate} = \texttt{EYE_GATE_MIN} + (1-\texttt{EYE_GATE_MIN}) \times \texttt{perclos}) — drowsiness amplifies all penalties.

Energy (eye closure / fatigue)

[ \text{perclosEnergy} = \mathrm{clamp01}!\left(\frac{\text{perclos} - \texttt{ENERGY_PERCLOS_GRACE}}{1 - \texttt{ENERGY_PERCLOS_GRACE}}\right) ]

[ \text{energyScore} = 100 \times (1 - \text{perclosEnergy}) ]

ENERGY_PERCLOS_GRACE is 0.03 (lowered from 0.08) so alert users register some energy cost rather than always sitting at 100. No artificial cap — full PERCLOS range can move the score to 0.

Combined score

[ \text{combinedScore} = \frac{\text{eyeComfortScore} + \text{engagementScore} + \text{energyScore}}{3} ]


Ultradian session decay

After calibration completes, active session seconds (#activeSessionSec) accumulate only while the face is present and geometry is reliable — stepping away or poor lighting acts as a natural pause.

At each score tick, the combined score is multiplied by a Gaussian decay factor:

[ \text{decay} = \exp!\left(-\left(\frac{t_{\mathrm{active,min}}}{\texttt{SESSION_DECAY_TAU_MIN}}\right)^{!\texttt{SESSION_DECAY_BETA}}\right) ]

With SESSION_DECAY_TAU_MIN = 200 and SESSION_DECAY_BETA = 2 (Gaussian shape — starts nearly flat, then steepens):

Active session time Decay factor Score penalty
45 min 0.961 −4%
90 min (end of ultradian cycle 1) 0.845 −16%
120 min 0.726 −27%
180 min 0.444 −56%

Why: Ultradian rhythms run in ~90-minute cycles. Cognitive performance degrades across cycles without rest. TAU = 200 places the steepest part of the curve right at the 90-minute cycle boundary — scoring stays nearly flat for the first 45 minutes, then drops meaningfully as the first cycle closes. Taking a break resets active session time (see Break Boost below). The decay resets fully when a new session starts.


Break detection and boost

When the face is absent (no detection), a break timer starts immediately. Three thresholds govern what happens:

Absence tiers

Duration Behaviour
< 1 min (BREAK_MIN_DURATION_MS) Ignored — stood up briefly, sneezed, etc. No boost on return.
1–60 min Break mode. Active session timer pauses. On return, active time is partially reduced (boost applied).
≥ 60 min (BREAK_SESSION_END_MS) Session auto-ends — user has walked away for the day.

Break boost on return

When the user returns from a qualifying break (≥ 1 min, < 60 min), #activeSessionSec is reduced proportionally to how much of the ultradian cycle they stepped away from:

  • Short break (1–10 min): linear partial reset — 1 min away reduces active time by 1/10th of the full-reset amount, 9 min by 9/10ths.
  • Full break (≥ 10 min, BREAK_FULL_RESET_MS): active session time resets to zero — the ultradian decay clock restarts from scratch.

A "Focus boost +X%" insight fires immediately on return, quantifying how much the decay factor improved. The boost is proportional: a longer break earns a larger score recovery.

UI states

While away, the tray icon switches from the live fried-flow state to a gray . After 1 minute, it switches to a blue BRK indicator. A break banner appears in the dashboard showing elapsed away time. On return, the banner disappears and the tray icon resumes showing the live fried-flow state.


Displayed fried-flow state

Internal rawScore remains continuous in [0, 100] for smoothing, insights, and session math. The user-facing UI displays only the fried-flow state derived from the rounded EMA:

[ \text{display} \leftarrow \texttt{DISPLAY_SCORE_SMOOTH} \cdot \text{display} + (1-\texttt{DISPLAY_SCORE_SMOOTH}) \cdot \text{raw} ]

Calibration: Until CALIBRATION_FRAMES consecutive face frames with reliable geometry, the engine stays calibrating (rawScore/displayScore held at 100, all timers cleared).

Status labels (based on displayed internal value):

Internal value Label
≥ 80 Locked In
≥ 50 Steady
< 50 Fried

Quick reference: key constants

Constant Role
EAR_THRESHOLD Open vs closed eye for EAR and PERCLOS bits
FEATURE_MA_WINDOW Samples in rolling mean for pose / lip / look-up
SCORE_TICK_HZ Internal score integration rate
DISPLAY_SCORE_SMOOTH EMA smoothing for displayed score
CALIBRATION_FRAMES Face frames required before scoring begins
T_OFF_SOFT_CAP_SEC / T_OFF_MED_CAP_SEC Phone-check tier boundaries (8 s / 18 s)
G_PHONE_* Phone penalty ramp coefficients
EYE_BLEND_MIN Soft-zone floor for phone penalty when eyes are open (0.55)
T_YAW_ONSET_NORM Yaw threshold to start accumulating T_yaw (~20°)
G_YAW_*, T_YAW_* Lateral gaze penalty ramp (single-monitor only)
PERCLOS_WINDOW Length of binary closed-eye history
ENERGY_PERCLOS_GRACE PERCLOS fraction below which energy score is unaffected (0.03)
EYE_COMFORT_BASELINE_BPM Target blink rate (15 BPM); deficit drives eye comfort decay
SESSION_DECAY_TAU_MIN Ultradian decay time constant (200 min — steepest at 90-min cycle boundary)
SESSION_DECAY_BETA Decay shape exponent (2 = Gaussian)
BREAK_MIN_DURATION_MS Minimum absence to count as a break and trigger boost (1 min)
BREAK_FULL_RESET_MS Absence length that fully resets active session decay (10 min)
BREAK_SESSION_END_MS Absence length that auto-ends the session (60 min)

Insight notification system (src/insights.js)

Notifications are driven by a stateful chain in InsightEngine rather than a random picker, so each message is aware of what fired before it.

Tier classification

Score range Tier
< 35 break
35–54 slipping
55–79 ok
≥ 80 good

Chain state (private fields)

Field Purpose
#insightChain { tier, depth, scoreAtFire } — tracks the last fired tier and how many times that tier has repeated
#highScoreSince Timestamp when score first crossed ≥ 80, used for flow milestones
#flowMilestone Which flow milestone has already fired (20min / 60min) so they only fire once per streak
#bodyDecks Per-bucket shuffled decks for no-repeat body rotation

Chain logic (#buildInsight)

  • Same tier repeatingdepth++ → message references the prior check-in ("still" / "again" language).
  • Slipping → break escalation → dedicated "things slipped further" message instead of a generic break notification.
  • Recovery (previous tier was bad, current score ≥ 70) → one-time comeback message.
  • Flow milestones: 20 min sustained ≥ 80 → "You're in flow"; 60 min sustained → "An hour in the zone". Replaces the old #goodFocusSince field.

Dynamic cooldown (#escalatingCooldown)

Standard cooldown is 5 min. Drops to ~3 min when the score has fallen 12+ points since the last insight and the current tier is still negative. Prevents long silences during a real focus crash.

No-repeat body rotation (#pickBody)

Each bucket (e.g. 'slipping-1', 'break-2') maintains its own shuffled deck. All options in a bucket are cycled before any repeats, and the same body is never shown back to back. Replaced the old global pick() call.

Notification copy

All negative-tier bodies were rewritten with specific, science-backed, actionable tips in plain language: box breathing, 20-20-20 rule, hydration, vagus nerve exhale, movement breaks, cold water, and nap-vs-caffeine guidance.


Dashboard UI (src/dashboard.html)

Stat label tooltips

The three subscore labels in the stats panel (Screen Strain, Engagement, Energy) each have a small icon. Hovering reveals a styled bubble explaining the metric in plain English:

  • Screen Strain — blink rate / eye strain proxy.
  • Engagement — head position (chin-down / looking away).
  • Energy — eye drooping / alertness (PERCLOS).

Implemented as CSS-only .info-tip / .info-tip-bubble classes. No JS changes required.

Tray icon

The macOS / Windows menu-bar icon is a 64×64 canvas drawn in the renderer and sent to the main process as a PNG data URL via the tray-icon IPC channel. Three visual states:

State Icon Color
Active (score ≥ 80) Score number Green
Active (score 50–79) Score number Yellow
Active (score < 50) Score number Red
Away (< 1 min) Gray
Break (≥ 1 min) BRK Blue

Font size auto-shrinks so text always fits within the icon regardless of number of digits or label length.

Advanced stats panel

The expanded stats view includes a T yaw row showing accumulated side-gaze seconds (suppressed and displayed as zero on multi-monitor setups), and a monitor count flag that lights up when multiple displays are detected.

Update flow

A dismissable update banner appears above the footer whenever a new version has been downloaded and is ready to install. It shows the version number and a "Restart" button — no need to spot the small footer text.

The footer "Check for updates" button still works for manual checks; its label reflects the current download state (checking / downloading / ready).


App icons (assets/)

File Used for
assets/macOS/icon-light-dock.png macOS Dock icon (light) — source of truth
assets/macOS/icon-dark-dock.png macOS Dock icon (dark) — source of truth
assets/macOS/icon-light.icns macOS app icon (light), DMG window icon — generated
assets/macOS/icon-dark.icns macOS app icon (dark) — generated
assets/macOS/lobi.icon macOS 26+ adaptive icon (electron-builder)
assets/windows/icon-dark.ico Windows taskbar / installer icon

When you update the dock PNGs, regenerate the .icns files with:

./scripts/generate-icons.sh

Auto-update (src/main.js)

  • Startup checkautoUpdater.checkForUpdates() runs once when the app is ready (packaged builds only).
  • Periodic check — a setInterval re-runs the check every 6 hours so users with the app open all day still receive updates automatically.
  • Tray menu — the context menu item label reflects the current update state and changes dynamically:
State Tray label
Idle Check for Updates
Checking Checking for Updates…
Downloading Downloading vX.Y.Z…
Ready Restart to Install vX.Y.Z
Up to date Up to Date ✓
Error Update Check Failed — Retry
  • State seeding on window open — a get-update-state IPC handler lets the renderer query the current state immediately on load, fixing a bug where the "Restart" button required multiple clicks if the update had downloaded before the dashboard window was opened.

Automated tests

The scoring engine has a Vitest test suite (src/insights.test.js) covering:

  • Calibration gate (scoring holds until N stable frames)
  • Face-absent / away detection
  • Insight cooldown and escalating cooldown
  • Score threshold and tier classification
  • Insight escalation (slipping → break escalation path)
  • Recovery insight (bad → good comeback)
  • Flow milestones (20 min and 60 min sustained ≥ 80)
  • No-repeat body rotation (deck exhausts before repeating)
  • Insight payload shape (non-empty title + body)
  • Ultradian decay (math verification + engine integration)
  • Break boost (11 tests: boost magnitude, isOnBreak getter, partial vs full reset, session-end trigger)
  • Multi-monitor T_yaw suppression (7 tests)

Run with:

npx vitest run

Requires Node 22.x. Pinned to vitest@2 for Node 22.0.0 compatibility (v4 requires ≥22.12).


How to test (manual)

  1. Run the app, grant camera, open the dashboard.
  2. Calibration: Hold a normal working pose until calibration completes (~30 stable frames).
  3. Phone check: Look down for 5–8 s with eyes open — T_off should accumulate and engagement score drop.
  4. Yaw distraction (single monitor only): Turn head sideways past ~20° and hold — T_yaw accumulates and engagement drops. On a multi-monitor setup this should have no effect.
  5. Energy: Partially close eyes — perclos rises and energy score drops (now responsive from ~3% closure rather than 8%).
  6. Eye comfort: Avoid blinking for 30–60 s — eye comfort score should visibly decay as smoothed BPM falls below 15.
  7. Session decay: Check activeSessionMin in getLiveMetrics() — decay is ~4% at 45 min and ~16% at 90 min.
  8. Break mode: Step away from the camera. After ~10 s, the tray should show . After 1 min, it should switch to blue BRK and the dashboard banner should appear. Return — a "Focus boost +X%" insight should fire and the banner should disappear.
  9. Session auto-end: Stay out of frame for 60 min — the session should end automatically.
  10. Motion gate: Rapidly move head/eyes — concentrationFrameTrusted false should pause score ticks.
  11. Update banner: In a packaged build, trigger an update download and reopen the dashboard — the banner should appear immediately without needing to click anything.
  12. Tray update states: After triggering an update check, right-click the tray icon — the menu item label should reflect the current download state in real time.

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