AI · Behavioral baseline

Anomalies

Deviations from each worker's personal baseline — route, timing, dwell, battery, and movement. Model: lwp-baseline-v0.4.

Open anomalies
4
Avg confidence
80%
Resolved today
1
DC
David Chen
14m ago
Unusual dwell
87%
Baseline

David typically spends 6-12 min at this plant room.

Observed

Has been stationary in the same 4m radius for 28 min. No movement detected.

Suggested action: Voice check-in prompt. If no response within 60s, escalate to supervisor.
AK
Aisha Khan
38m ago
Off typical route
74%
Baseline

Aisha's Monday delivery route over the last 12 weeks passes through E1/E2/E3 postcodes in sequence.

Observed

Currently in EC1 — first time at this postcode on a Monday. Not flagged in route plan.

Suggested action: Soft check-in via push. Likely a route deviation, not safety-critical.
JP
James Patterson
2h ago
Battery decay
68%
Baseline

James's phone typically drops 8-12% battery in the first 4h of a shift.

Observed

Dropped 41% in 3.5h — could indicate location/sensor service stuck or app misbehaving.

Suggested action: Push: ask James to check battery optimisation settings. Engineering: investigate.
HL
Hannah Lewis
2h ago
Movement pattern change
79%
Baseline

Hannah's accelerometer profile shows brisk walking between care visits.

Observed

Last 90 min show slow, irregular movement and 3 stops > 5 min. Possible fatigue, illness, or limb injury.

Suggested action: Mood pulse + welfare call. Auto-suggest a 10-min break.