Introduction
The steering wheel sensor measures the driver's health and continuously monitors his heartbeat. It is used to predict the driver's vital signs effectively and filter readings based on the driver's activity and fitness into normal, fatigued, and abnormal readings continuously stored on the cloud server. Normal fatigue signals indicate normal health, but abnormal signals indicate the driver's poor health and life-threatening condition. We have recorded continuous ECG readings from the driver and forwarded them to the intelligent system on the cloud server. From the heart rate, the intelligent learner calculates the various vital signs and helps to determine the area such as electrocardiogram, heart rate, blood pressure, respiratory rate, oxygen saturation in the blood, blood sugar, skin sweat, capnography, body temperature, and movement evaluation using sensors A1, A2, A3, A4, A5, and A6, as in Fig. 2 & 3, to measure the physical condition of the driver and blood alcohol levels.