A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans.
A Wearable High-Resolution Facial Electromyography for Long Term Recordings in Freely Behaving Humans.
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DOI：
10.1038/s41598-018-20567-y
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发表时间：
2018-02-01
影响因子：
4.6
通讯作者：
Hanein Y
中科院分区：
文献类型：
--
作者：
Inzelberg L;Rand D;Steinberg S;David-Pur M;Hanein Y
人类的面部表情是一种复杂的能力，承载着重要的心理和神经信息。面部表情通常涉及多块肌肉的共同激活；它们因人而异，在自愿表达和自发表达之间有所不同，并且很大程度上取决于个人的解释。因此，虽然在非实验室环境中高分辨率记录肌肉激活提供了令人兴奋的机会，但它仍然是一个重大挑战。本文描述了一种可穿戴、非侵入性的面部肌肉激活客观测绘方法，并演示了其在自然环境中的应用。我们专注于与“享受”、“社交”和“面具”微笑相关的肌肉激活；具有不同社会意义的三个类别。我们使用专为面部表面肌电图记录而设计的创新、干燥、柔软的电极阵列、定制的独立成分分析算法和简短的训练程序来实现所需的映射。首先，通过自愿表达来证明眼轮匝肌和上唇提肌的识别。其次，从自愿和自发的杜兴微笑和非杜兴微笑中识别出颧大肌。最后，在未经修改的工作环境中使用无线设备揭示了面对面互动中不同情绪的表达。我们的高分辨率、无串扰映射以及卓越的用户便利性，为游戏、虚拟现实、生物反馈以及客观的心理和神经评估开辟了新的机遇。
Human facial expressions are a complex capacity, carrying important psychological and neurological information. Facial expressions typically involve the co-activation of several muscles; they vary between individuals, between voluntary versus spontaneous expressions, and depend strongly on personal interpretation. Accordingly, while high-resolution recording of muscle activation in a non-laboratory setting offers exciting opportunities, it remains a major challenge. This paper describes a wearable and non-invasive method for objective mapping of facial muscle activation and demonstrates its application in a natural setting. We focus on muscle activation associated with “enjoyment”, “social” and “masked” smiles; three categories with distinct social meanings. We use an innovative, dry, soft electrode array designed specifically for facial surface electromyography recording, a customized independent component analysis algorithm, and a short training procedure to achieve the desired mapping. First, identification of the orbicularis oculi and the levator labii superioris was demonstrated from voluntary expressions. Second, the zygomaticus major was identified from voluntary and spontaneous Duchenne and non-Duchenne smiles. Finally, using a wireless device in an unmodified work environment revealed expressions of diverse emotions in face-to-face interaction. Our high-resolution and crosstalk-free mapping, along with excellent user-convenience, opens new opportunities in gaming, virtual-reality, bio-feedback and objective psychological and neurological assessment.
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影响因子：
3.2
作者：
d'Avella A;Giese M;Ivanenko YP;Schack T;Flash T
通讯作者：
Flash T
一种基于 FastICA 的高密度表面肌电分解新框架。
DOI：
10.1109/tnsre.2015.2412038
发表时间：
2016-01
期刊：
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
影响因子：
--
作者：
Chen M;Zhou P
通讯作者：
Zhou P
影响因子：
4.6
作者：
Bareket L;Inzelberg L;Rand D;David-Pur M;Rabinovich D;Brandes B;Hanein Y
通讯作者：
Hanein Y
DOI：
10.1073/pnas.1322355111
发表时间：
2014-04-15
影响因子：
11.1
作者：
Du, Shichuan;Tao, Yong;Martinez, Aleix M.
通讯作者：
Martinez, Aleix M.
影响因子：
2.1
作者：
EKMAN, P;FRIESEN, WV
通讯作者：
FRIESEN, WV