iAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals
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 the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8565851/ |
| _version_ | 1818617926836551680 |
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| author | Amani Albraikan Basim Hafidh Abdulmotaleb El Saddik |
| author_facet | Amani Albraikan Basim Hafidh Abdulmotaleb El Saddik |
| author_sort | Amani Albraikan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T17:13:28Z |
| format | Article |
| id | doaj.art-9d28f29fd9a743d09332ddc218346ad1 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T17:13:28Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-9d28f29fd9a743d09332ddc218346ad12022-12-21T22:23:21ZengIEEEIEEE Access2169-35362018-01-016787807878910.1109/ACCESS.2018.28852798565851iAware: A Real-Time Emotional Biofeedback System Based on Physiological SignalsAmani Albraikan0https://orcid.org/0000-0001-9678-9744Basim Hafidh1https://orcid.org/0000-0001-5322-8250Abdulmotaleb El Saddik2https://orcid.org/0000-0002-7690-8547Multimedia Computing Research Laboratory, University of Ottawa, Ottawa, CanadaMultimedia Computing Research Laboratory, University of Ottawa, Ottawa, CanadaMultimedia Computing Research Laboratory, University of Ottawa, Ottawa, CanadaSelf-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.https://ieeexplore.ieee.org/document/8565851/Emotion recognitionlive biofeedbackreal-time mobile computingphysiological signalsself-awareness |
| spellingShingle | Amani Albraikan Basim Hafidh Abdulmotaleb El Saddik iAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals IEEE Access Emotion recognition live biofeedback real-time mobile computing physiological signals self-awareness |
| title | iAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals |
| title_full | iAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals |
| title_fullStr | iAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals |
| title_full_unstemmed | iAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals |
| title_short | iAware: A Real-Time Emotional Biofeedback System Based on Physiological Signals |
| title_sort | iaware a real time emotional biofeedback system based on physiological signals |
| topic | Emotion recognition live biofeedback real-time mobile computing physiological signals self-awareness |
| url | https://ieeexplore.ieee.org/document/8565851/ |
| work_keys_str_mv | AT amanialbraikan iawarearealtimeemotionalbiofeedbacksystembasedonphysiologicalsignals AT basimhafidh iawarearealtimeemotionalbiofeedbacksystembasedonphysiologicalsignals AT abdulmotalebelsaddik iawarearealtimeemotionalbiofeedbacksystembasedonphysiologicalsignals |