W !NCE:用于上面部活动单元监测的眼镜解决方案

Soha Rostaminia, Alexander Lamson, Subhransu Maji, Tauhidur Rahman, Deepak Ganesan
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引用次数: 3

摘要

不引人注目地持续监控面部表情的能力对从情感计算到医疗保健和娱乐行业的各种应用领域都有影响。标准的面部动作编码系统(FACS)以及基于相机的方法已被证明可以提供面部表情的客观指标;然而,由于隐私问题和相机的尴尬定位,这些方法在移动应用中也相当有限。为了弥补这一差距,W!NCE重新利用了一种市售的基于眼电图的眼镜(J!NS - MEME)用于连续且不显眼地高保真地感知上面部动作单元。W !NCE使用两阶段处理流程来检测面部手势,包括运动伪影去除和面部动作检测。我们通过对静止和动态设置下的17个用户的数据进行广泛评估来验证我们系统的适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
W!NCE: eyewear solution for upper face action units monitoring
The ability to unobtrusively and continuously monitor one's facial expressions has implications for a variety of application domains ranging from affective computing to health-care and the entertainment industry The standard Facial Action Coding System (FACS) along with camera based methods have been shown to provide objective indicators of facial expressions; however, these approaches can also be fairly limited for mobile applications due to privacy concerns and awkward positioning of the camera. To bridge this gap, W!NCE re-purposes a commercially available Electrooculography-based eyeglass (J!NS MEME) for continuously and unobtrusively sensing of upper facial action units with high fidelity. W!NCE detects facial gestures using a two-stage processing pipeline involving motion artifact removal and facial action detection. We validate our system's applicability through extensive evaluation on data from 17 users under stationary and ambulatory settings.
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