Technical & Clinical Whitepaper

Predictive Pre-Exit Intent Recognition Explained.

How tracking real-time 2D plane center-of-gravity shifts creates a 10–15 second response window for caregivers — without camera surveillance or wearable devices.

Core Principle: Every bed exit is preceded by a specific sequence of physical posture shifts — turning, sitting up on the mattress edge, and transferring weight. BedExit recognizes this intent sequence 10–15 seconds before feet touch the floor.

1. The Mathematics of Intent vs Impact

Traditional pressure mats are binary thresholds: they trigger only when weight lifts off the surface. By contrast, BedExit continuously processes weight distribution across the horizontal plane. This spatial tracking distinguishes between innocent restless turning and the deliberate weight shift preparing to stand.

2. Sub-Second Direct Wireless Latency

BedExit bedside sensor units communicate directly with outside-room alert indicators using a dedicated peer-to-peer wireless protocol. Signal transmission occurs in under 1 second without relying on facility Wi-Fi routers or cloud latency.

3. False-Alarm Elimination

Nurse alarm fatigue is caused by nuisance alerts. BedExit's 1-second intent calculation window filters out transient movements, ensuring that bedside alerts remain meaningful for night-shift caregivers.