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SmartEmoDetect: An Internet of Things Based Emotion Monitoring Wearable Technology for Drivers

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Negative emotional reactions are the major source of severe accidents on the road. In this paper, an IoT based wearable device is proposed that will estimate the four negative emotions (stress, anger, terror, sad) in the driver and hence would be helpful to prevent roadway disasters. An intelligent stress monitoring control system at the cloud to analyze the sensor signals and to make the decision based upon the variation received in the signals is proposed. This system can also be effective for the government bus drivers. An auditory output response is from buzzer and a warning message is displayed on the screen inside the vehicle. The continuously monitored real time sensor data in the form of graphs is displayed on the PC screen considered as a central server. When any of the sensor value exceeds predefined threshold value, the driver is considered to be in subconscious state and the break system will be implemented to stop the DC motor.
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Keywords: Arduino; Driver Safety; Emotion Monitoring; Fatigue Detection; Pulse Sensor

Document Type: Research Article

Affiliations: Computer Science and Engineering Department, Maharishi Markandeshwar (Deemed to be University), Mullana 133207, Haryana, India

Publication date: September 1, 2019

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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