საკვანძო სიტყვები
Edge AI
Zynq SoC
Psychophysiological Monitoring
Decision Support Systems
HRV
Acute Stress Detection
Wearable Technology
როგორ უნდა ციტირება
ანოტაცია
In the modern world of operations that include defense, emergency medicine, and control of energy systems, the most unpredictable element remains human beings. Machines can be tested and software can be debugged, but the human factor shifts rapidly. A person may begin the day sharp and fully concentrated and then in just a few hours lose focus, slow down reactions, and make mistakes. Some of these mistakes are small and only add noise to the workflow, but others can have fatal consequences.
Traditional methods of monitoring stress and readiness are insufficient. Questionnaires rely on subjective answers. Medical check-ups are periodic and static. Psychological interviews capture a snapshot but not the constant dynamics. This means that real changes often pass unnoticed until the damage is already visible.
This work describes a wearable system with Edge AI that addresses the gap. The system combines two measures. The first is the Cognitive Readiness Index or CRI, which reflects short-term readiness. The second is the Destabilization Risk Index or DRI, which reflects long-term resilience. Both rely mainly on HRV data, supported by electrodermal activity, motion signals, and body temperature. Computation is done locally on the device. The aim is to reduce immediate errors and at the same time protect long-term health.
წყაროები
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