Multi-modal interactive fusion method for detecting teenagers' psychological stress.,Journal of Biomedical informatics

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Multi-modal interactive fusion method for detecting teenagers' psychological stress.
Journal of Biomedical informatics ( IF 4.0 ) Pub Date : 2020-04-25 , DOI: 10.1016/j.jbi.2020.103427
Huijun Zhang ₁ , Lei Cao ₁ , Ling Feng ₁ , Mo Yang ₂

Affiliation

Psychological stress turns out to be increasingly severe among teenagers and has imposed numerous physical and mental issues on them. The earlier the stress is detected, the better it can be effectively managed and alleviated. Smart phones, having taken up an integral part of our daily lives, can act as a way to monitor and collect people's daily behaviors and help people manage stress. In the present study, a Multi-modal Interactive Fusion Method (MIFM) was proposed to detect psychological stress from three types of data (namely, texts, images, sleep and exercise data) harvested using a self-developed mobile app termed as Happort. The method characterized the associations between each two modalities and calculated the contribution of each modality via two attention mechanisms. As revealed from our experimental results, fusing multi-modalities for stress detection exhibits consistently higher performance than using single-modality.

中文翻译：

用于检测青少年心理压力的多模式交互式融合方法。

事实证明，青少年的心理压力越来越大，并给他们带来了许多身心上的问题。越早发现压力，就越能有效地管理和缓解压力。智能手机已成为我们日常生活不可或缺的一部分，可以作为监视和收集人们日常行为并帮助人们缓解压力的一种方式。在本研究中，提出了一种多模式交互式融合方法（MIFM），该方法可通过使用称为Happort的自行开发的移动应用程序收集的三种数据（即文本，图像，睡眠和运动数据）检测心理压力。该方法表征了每种两种方式之间的关联，并通过两种注意力机制计算了每种方式的贡献。从我们的实验结果可以看出，

更新日期：2020-04-25

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