Research and exploration of a panoramic situation-aware embodied intelligent wearable system

In response to the core limitations of traditional smart wearable devicesnamely passive data acquisition, imbalanced functional integration, and insufficient humanmachine collaborationthis study deeply integrates embodied intelligence with wearable technologies and proposes a panoramic situation-aware embodied intelligent wearable system for high-risk operations, medical monitoring, and elderly care. A multimodal fusion technical architecture is adopted, following the pathway of "active perceptiondynamic decision-makingnatural interaction," thereby upgrading wearable systems from "tool-level data acquisition" to "partner-level intelligent collaboration." Application results demonstrate that the system reduces accident rates in electric power operations by 73%, increases the blood glucose compliance rate among diabetic patients by 42%, and shortens fall response time for elderly individuals living alone to within 20 seconds.