OCOsense^TM Smart Glasses for Analyzing Facial Expressions Using Optomyographic Sensors

IF 1.6 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Pervasive Computing Pub Date : 2023-07-01 DOI:10.1109/mprv.2023.3276471

James Archer, Ifigeneia Mavridou, Simon Stankoski, M. John Broulidakis, Andrew Cleal, Piotr Walas, Mohsen Fatoorechi, Hristijan Gjoreski, Charles Nduka

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引用次数: 1

Abstract

This article introduces the Emteq's OCOsense ^TM smart glasses equipped with a novel noncontact OCO ^TM sensor technology for measuring facial muscle activation and expressions based on high-resolution tracking of skin movement. We demonstrate that the OCO ^TM sensor technology based on optomyography is a sensitive and accurate approach for assessing skin movement in three dimensions, providing a means for measuring the facial expressions used to assess emotional valence such as smile, frown, and eyebrow raise. We propose that glasses-based optomyography sensing has the potential to herald a paradigm shift in real-world facial expression monitoring, thus enabling real-time emotional analytics with healthcare and research applications.

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使用视光传感器分析面部表情的OCOsenseTM智能眼镜

本文介绍了Emteq的OCOsense TM智能眼镜，该眼镜配备了一种新型的非接触式OCO TM传感器技术，可以基于高分辨率的皮肤运动跟踪来测量面部肌肉的激活和表情。我们证明基于视光术的OCO TM传感器技术是一种灵敏而准确的三维皮肤运动评估方法，为测量用于评估情绪效价的面部表情(如微笑、皱眉和扬眉)提供了一种方法。我们认为，基于眼镜的视光传感有可能预示着现实世界面部表情监测的范式转变，从而实现医疗保健和研究应用的实时情绪分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Pervasive Computing 工程技术-电信学

CiteScore

4.10

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： IEEE Pervasive Computing explores the role of computing in the physical world–as characterized by visions such as the Internet of Things and Ubiquitous Computing. Designed for researchers, practitioners, and educators, this publication acts as a catalyst for realizing the ideas described by Mark Weiser in 1988. The essence of this vision is the creation of environments saturated with sensing, computing, and wireless communication that gracefully support the needs of individuals and society. Many key building blocks for this vision are now viable commercial technologies: wearable and handheld computers, wireless networking, location sensing, Internet of Things platforms, and so on. However, the vision continues to present deep challenges for experts in areas such as hardware design, sensor networks, mobile systems, human-computer interaction, industrial design, machine learning, data science, and societal issues including privacy and ethics. Through special issues, the magazine explores applications in areas such as assisted living, automotive systems, cognitive assistance, hardware innovations, ICT4D, manufacturing, retail, smart cities, and sustainability. In addition, the magazine accepts peer-reviewed papers of wide interest under a general call, and also features regular columns on hot topics and interviews with luminaries in the field.

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