Stress levels estimation from facial video based on non-contact measurement of pulse wave
Stress levels estimation from facial video based on non-contact measurement of pulse wave
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DOI：
10.1007/s10015-020-00624-4
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发表时间：
2020-07
影响因子：
0.9
通讯作者：
Kaito Iuchi;Ryota Mitsuhashi;Takashi Goto;Akira Matsubara;Takahiro Hirayama;Hideki Hashizume;N. Tsumura
中科院分区：
文献类型：
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作者：
Kaito Iuchi;Ryota Mitsuhashi;Takashi Goto;Akira Matsubara;Takahiro Hirayama;Hideki Hashizume;N. Tsumura
在本文中，我们提出了一种使用从面部视频中提取的脉搏波来测量多个压力水平的方法。压力是引发精神疾病的重要因素。为了预防，必须采取措施和处理压力。许多研究人员尝试使用接触传感器来测量压力。然而，接触式传感器可能会感到不舒服或不安全，具体取决于人的情况。最近，无需接触传感器即可测量脉搏波的成像光电体积描记法（iPPG）引起了人们的兴趣。然而，大多数论文尚未研究包括压力信息在内的压力条件下脉率变异性（PRV）的可估计性。此外，基于PRV的压力测量仅检测放松和压力。因此，本研究做出以下贡献。首先，我们研究了几种 iPPG 方法的 PRV 在应力条件下的有效性。值得注意的是，在以前的工作中没有实现对应力条件下几种 iPPG 方法的比较。其次，我们提出了一种基于 PRV 特征来估计 4 个压力水平的方法，PRV 特征基于 iPPG 方法的面部视频。值得注意的是，基于“面部视频”的“多个”压力水平估计在 iPPG 方法的先前工作中尚未实现。
In this paper, we propose a method to measure multiple stress levels using pulse wave extracted from a facial video. Stress is a crucial factor which triggers mental illnesses. For the prevention, it is necessary to measure and handle with stress. Many researchers have attempted to measure stress using with a contact sensor. However, contact sensors can be uncomfortable or unsafe depending on the person. Recently, imaging photoplethysmography (iPPG), which measures pulse wave without contact sensors has been gathering interest. However, the estimatability of pulse rate variability (PRV) on stress condition, which include information of stress has not been investigated in most papers. In addition, the stress measurement based on PRV only detect relaxation and stress. Therefore, in this study, the following contributions is made. First, we investigate the effectiveness of the PRV of the several iPPG methods on stress condition. It is noted that comparing several iPPG methods on the stress condition is not achieved in the previous works. Second, we propose a method to estimate 4 stress levels based on PRV features based on a facial video with the iPPG methods. It is noted that “multiple” stress levels estimation based on ‘a facial video’ has not been accomplished in the previous works in the iPPG method.