作者
Aaqib Saeed, Stojan Trajanovski
发表日期
2017/11/15
期刊
arXiv preprint arXiv:1711.06116
简介
Stress can be seen as a physiological response to everyday emotional, mental and physical challenges. A long-term exposure to stressful situations can have negative health consequences, such as increased risk of cardiovascular diseases and immune system disorder. Therefore, a timely stress detection can lead to systems for better management and prevention in future circumstances. In this paper, we suggest a multi-task learning based neural network approach (with hard parameter sharing of mutual representation and task-specific layers) for personalized stress recognition using skin conductance and heart rate from wearable devices. The proposed method is tested on multi-modal physiological responses collected during real-world and simulator driving tasks.
学术搜索中的文章
A Saeed, S Trajanovski - arXiv preprint arXiv:1711.06116, 2017