Driver Stress Detection Based on IOT Motion Sensor Using Wearable Glove
Assistant Professor, Dept. of ECE, University College of Engineering, Arani, India
Assistant Professor, Dept. of EEE, Annamalaiar College of Engineering, Modaiyur, India
Professor, Dept. of EEE, Karpagam College of Engineering, Coimbatore, India
Assistant Professor, Dept. of EIE, B.S.Abdur Rahman Crescent Institute of Science & Technology
Stress conditions experienced by the driver is a serious problem in road safety. Driver error is the most common cause of road accidents. In this paper skin conductance is taken for analysis of driver drowsiness fatigue and mental stress. In order to minimize human error while driving it monitors stress and fatigue by measuring physiological parameters like skin acting like a conductor gives a response also called as Galvanic skin response and the motion is continuously monitored over a period of time. Internet of Things (IOT) based sensor used in driver’s health care is novel approach from the classical ways that includes visiting hospitals for clinical procedure and constant supervision of the person. It connects the health care professionals with the driver through smart device to monitor vitals without affecting the freedom of movement of the driver. This chapter introduces a viewof IOT functionality and its application with the sensing and wireless technique for implementing the required stress monitoring system for drivers. Further the Captured data is sent to an IOT Cloud Where Machine learning algorithms were deployed for computing the percentage of alertness and stress if the stress levels go beyond the threshold levels, then alert signal is sent to the driver from buzzer.
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