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Showing 1 to 3 of 3 for “"Department of Mechanical and Industrial Engineering"”.

  1. A machine learning approach to predict emotional arousal and aggressive driving from EDA and heart rate signals

    … driving behaviors, such as sudden acceleration and hard braking, abrupt steering, significantly increase the risk of road accidents, especially among young drivers. This study aims to predict aggressive driving behavior and emotional arousal using physiological signals, Electrodermal Activity …

    umn Repository record for A machine learning approach to predict emotional arousal and aggressive driving from EDA and heart rate signals (opens in a new tab)

  2. Characterization of Nanoporous Polyvinylidene Fluoride (PVDF) Sensors under Tensile Loading

    Piezoelectric materials are one of the currently smart materials. They have achieved great success in biologic medical and electrical applications, as fluorocarbon coatings and other areas. They have shown thriving prospects in the ongoing research and commercialization process. To improve the …

    umn Repository record for Characterization of Nanoporous Polyvinylidene Fluoride (PVDF) Sensors under Tensile Loading (opens in a new tab)

  3. Smart E-Textiles Integrated into Human Health Monitoring Systems

    … electronic capabilities, are becoming the future of portable, wearable electronics for human performance and health monitoring. There are many applications of e-textiles in the health monitoring industry, where early detection and prevention of adverse health conditions is at the forefront of

    umn Repository record for Smart E-Textiles Integrated into Human Health Monitoring Systems (opens in a new tab)