The present disclosure pertains to the field of personal safety systems, and particularly to wearable electronic devices that detect distress through multi-
modal sensing and autonomously initiate defensive, evidentiary, and emergency-communication actions. A personal safety device is disclosed that autonomously detects and responds to user distress. The device includes a deformable housing acting as an activation interface, a
processing core executing a multi-
modal threat-detection
algorithm, and physiological, inertial, positional, and acoustic sensors. A location module, imaging and illumination units, and self-defence systems—including a controlled non-lethal electric-
discharge unit and a forensic marking-fluid dispenser—are activated when a multi-condition
threat rule is satisfied. The
system computes a dynamic
threat index from heart-rate variability, motion deviation,
oxygen-saturation change, electrodermal activity, and distress-signature analysis, and transmits diagnostic and positional information to designated recipients. A cloud-based behavioural-learning platform updates user-specific thresholds to enhance detection accuracy without requiring deliberate user action.