使用视光传感器分析面部表情的OCOsenseTM智能眼镜

IF 1.6 4区计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Pervasive Computing Pub Date : 2023-05-16 DOI:10.1101/2023.05.12.23289646

Jamie Archer, I. Mavridou, S. Stankoski, M. J. Broulidakis, Andrew Cleal, Piotr Walas, M. Fatoorechi, H. Gjoreski, C. Nduka

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引用次数: 2

摘要

本文介绍了Emteq的OCOsenseTM智能眼镜，该眼镜配备了一种新型的非接触式OCOTM传感器技术，用于基于皮肤运动的高分辨率跟踪测量面部肌肉激活和表情。我们证明，基于验光的OCOTM传感器技术是一种敏感而准确的三维评估皮肤运动的方法，为测量用于评估情绪效价的面部表情（如微笑、皱眉和眉毛上扬）提供了一种手段。我们提出，基于眼镜的验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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OCOsenseTM Smart Glasses for Analyzing Facial Expressions Using Optomyographic Sensors

This article introduces the Emteq's OCOsenseTM smart glasses equipped with a novel noncontact OCOTM sensor technology for measuring facial muscle activation and expressions based on high-resolution tracking of skin movement. We demonstrate that the OCOTM 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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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.