A novel technique for stress recognition using ECG signal pattern

Motor driving under stressful conditions breaks the control over vehicle and has a major risk on the driver and also on nearby vehicles. To design a critical safe wearable driving system by continuous recognition of stress is an important research topic in present life. The present work proposes a novel technique of stress recognition by analyzing ECG signal pattern of drivers. This method also includes denoising of ECG signal for increasing accuracy of stress recognition rate by designing of an optimal filtering technique. This evaluation achieved a recognition rate of 87% when tested over a real-time database from physio net of 17 automobile drivers. It is envisioned that such a system will help to save many precious lives by providing them fast and real-time alerts.

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