Emotion Recognition Using Wearables: A Systematic Literature Review Work in progress
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Abstract (arXiv)
Wearables like smartwatches or wrist bands equipped with pervasive sensors enable us to monitor our physiological signals. In this study, we address the question whether they can help us to recognize our emotions in our everyday life for ubiquitous computing. Using the systematic literature review, we identified crucial research steps and discussed the main limitations and problems in the domain.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Dec 2019.
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Citing papers per year: 2022: 3; 2023: 0; 2024: 1.
4 papers.
- 2022Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methodscited by 17
- 2022Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Datacited by 2
- 2022Emotion detection of social data: APIs comparative studycited by 0
- 2024Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuningcited by 0
- 2024Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuning28 Jul 2024
- 2022Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods16 Dec 2022
- 2022Emotion detection of social data: APIs comparative study8 Jul 2022
- 2022Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data30 Jun 2022