# Emotion Recognition Using Wearables: A Systematic Literature Review Work in progress

arXiv: https://arxiv.org/abs/1912.10528 · HTML: https://mlsanity.com/paper/1912.10528/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Dec 2019.

## Built on by (most cited first, 4 of 4)

- [Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods](https://mlsanity.com/paper/2212.08744/) (2022)
- [Semi-Supervised Generative Adversarial Network for Stress Detection Using Partially Labeled Physiological Data](https://mlsanity.com/paper/2206.14976/) (2022)
- [Emotion detection of social data: APIs comparative study](https://mlsanity.com/paper/2207.10654/) (2022)
- [Optimizing Emotion Recognition with Wearable Sensor Data: Unveiling Patterns in Body Movements and Heart Rate through Random Forest Hyperparameter Tuning](https://mlsanity.com/paper/2408.03958/) (2024)

## 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.