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This paper is focused to develop a wearable glove system to detect driver stress events in real time. The driver's stress is estimated by the use of physiological signals and steering wheel motion analysis. The steering wheel motion is analyzed by driver's hand moving characteristic. Principally, the sensors on the glove gathered the photoplethysmogram signal via fingertip, and hand motion signal via inertial motion unit. The sensor module readings are transmitted to an end terminal application via a Bluetooth low energy transmission module to compute the driver stress index. The studies are carried out in a simulated driving, which is composed of three distinct driving scenarios to study the subjects' behaviors that correlate with stress. Twenty-eight subjects are requested to perform three different driving sessions with random scenarios generated while performing various driving maneuvers to assess the dynamic of …