Harnessing Haptic Technology for Real-Time Emotion Detection

This letter introduces a novel multi-modal environmental translator for real-time emotion recognition. The system integrates facial expression recognition (FER) and speech emotion recognition (SER) to analyze visual and vocal cues while conveying emotional feedback through vibrotactile signals. Emotions are mapped to distinct vibration frequencies—ranging from 0.4 Hz for neutral to 35 Hz for anger—enabling users to identify seven core emotions through tactile sensations intuitively. A user study involving ten participants demonstrated an average adaptation time of fewer than 7 min, indicating the system's effectiveness in quickly familiarizing users with the vibration signals. Overall, this innovative solution provides a robust approach to enhancing real-time emotion recognition through haptic feedback, making it suitable for everyday social interactions.

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Publication Details

Journal
IEEE Sensors Letters
Published
2025-02-05
DOI
https://doi.org/10.1109/lsens.2025.3538804
Citations
3
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
6.35
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article

Harnessing Haptic Technology for Real-Time Emotion Detection

Roi Yozevitch, Eldad Holdengreber, Yuna Blum, Asmare Ambaw et al.
3 citations
IEEE Sensors Letters
Emotion and Mood Recognition
6.35
article

Harnessing Haptic Technology for Real-Time Emotion Detection

Roi Yozevitch, Eldad Holdengreber, Yuna Blum, Asmare Ambaw, Lital Levy
article en
3 citations

Abstract

This letter introduces a novel multi-modal environmental translator for real-time emotion recognition. The system integrates facial expression recognition (FER) and speech emotion recognition (SER) to analyze visual and vocal cues while conveying emotional feedback through vibrotactile signals. Emotions are mapped to distinct vibration frequencies—ranging from 0.4 Hz for neutral to 35 Hz for anger—enabling users to identify seven core emotions through tactile sensations intuitively. A user study involving ten participants demonstrated an average adaptation time of fewer than 7 min, indicating the system's effectiveness in quickly familiarizing users with the vibration signals. Overall, this innovative solution provides a robust approach to enhancing real-time emotion recognition through haptic feedback, making it suitable for everyday social interactions.

IEEE Sensors LettersVol. 9(3)
Ariel University (IL)
Openalex Percentile: Top 5%
Emotion and Mood Recognition
6.35
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Harnessing Haptic Technology for Real-Time Emotion Detection — Roi Yozevitch, Eldad Holdengreber, et al. · IEEE Sensors Letters (2025) | TGRS Research Map | TGRS