Open AccessiAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals
Author(s) -
Amani Albraikan,
Basim Hafidh,
Abdulmotaleb El Saddik
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2885279
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
Self-awareness is the foundation of emotional intelligence. Most people can recognize their own and others' emotions. However, many people suffer from a common infirmity that prevents them from recognizing emotion within themselves and are therefore unable to experience a life that fulfills them emotionally. We propose a real-time mobile biofeedback system that uses wearable sensors to depict five basic emotions and provides the user with emotional feedback. We also present empirical results for the configuration of a physiological signal-based emotion recognition system in two experimental scenarios involving controlled and noncontrolled environmental settings. In our evaluation, we show that iAware helps increase emotional self-awareness by reducing the predictive error by 3.333% for women and by 16.673% for men. The primary results suggest the usefulness and necessity of the iAware system to provide users with real-time biofeedback based on physiological signals.
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