Water-safety system with biometric monitoring and automatic buoyancy activation

The wearable water-safety system uses rolling-average baselines and multi-sensor confirmation to adaptively respond to biometric signals, addressing false alarms and delays in existing systems, ensuring reliable flotation assistance in aquatic emergencies.

WO2026064832A1 Publication Date: 2026-04-02BASSON HENNING
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Patent Information

Application Number
PCT/AU2025/051087
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2024-09-26
Filing Date
2025-09-26
Publication Date
2026-04-02

AI Technical Summary

Technical Problem

Existing water safety systems often rely on rigid threshold settings or single-sensor triggers, leading to false alarms and delays in activation due to ordinary variations in user activity or physiology, and struggle to distinguish between different types of motion or physiological responses.

Method used

A wearable water-safety system with a controller that uses rolling-average baselines for biometric signals, adaptive response times, and multi-sensor confirmation to differentiate between normal and distress conditions, featuring a buoyancy actuator that inflates a flotation bladder upon detecting prolonged distress.

Benefits of technology

The system provides reliable and timely flotation assistance by distinguishing between normal exertion and distress, reducing false alarms and ensuring rapid intervention in emergencies, with features like haptic and audio alerts and a manual activation mechanism for redundancy.

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Abstract

A water-safety system is disclosed comprising a wearable device including a housing with a controller, at least one biometric sensor, and a buoyancy actuator. The controller operates in a detection mode to monitor biometric signals, enters an alarm mode when distress is indicated, and actuates the buoyancy actuator in an activation mode if no cancellation signal is received. Baselines for biometric signals are established using rolling averages to distinguish between normal activity and abnormal conditions. Optional features include adaptive response periods, multi-sensor confirmation, pattern detection of physiological events, reciprocating motion detection, manual activation interface, and wireless communication for remote cancellation, activation, and event notification.
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