Abstract The ability to automatically detect human facial expressions using sensor technology can potentially improve the quality of human life. The facial expressions can indicate the intentions and physiological conditions of a person which is valuable to healthcare sector. This paper presents the development of a low-cost stretchable strain sensor for human facial expression detection by utilizing stretchable silver ink. Screen printing technique was used to fabricate the sensor on commercially available medical dressing tape, Tegaderm. Mechanical characterization was carried out for the medical tape to evaluate its ultimate tensile strength and Young's modulus. Moreover, a new theoretical model for the hyper elastic Tegaderm film was developed based on Rivlin-Mooney two parameter model. The strain sensor exhibits several benefits such as high sensitivity, easy fabrication and conformable to human skin deformation. The sensor has the maximum gauge factor (GF) of around 84 with the highest stretchability of up to 20% strain. Experiments were conducted to evaluate the feasibility of applying the strain sensors for facial expressions detection system. Three facial expressions which are happy, sad and disgust were successfully distinguished. Due to the distinctive features of the sensor, it has wide potential applications in the field of facial expression detection, human body monitoring and robotics.

中文翻译：

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用于面部表情识别系统的低成本丝网印刷压阻应变传感器的开发

摘要 使用传感器技术自动检测人类面部表情的能力可以潜在地提高人类的生活质量。面部表情可以表明一个人的意图和生理状况，这对医疗保健部门很有价值。本文介绍了一种利用可拉伸银墨水开发的用于人脸表情检测的低成本可拉伸应变传感器。丝网印刷技术用于在市售医用敷料胶带 Tegaderm 上制造传感器。对医用胶带进行机械表征以评估其极限拉伸强度和杨氏模量。此外，基于 Rivlin-Mooney 二参数模型开发了一种新的超弹性 Tegaderm 薄膜理论模型。应变传感器具有高灵敏度、易于制造和适应人体皮肤变形等优点。该传感器的最大应变系数 (GF) 约为 84，具有高达 20% 应变的最高拉伸性。进行了实验以评估将应变传感器应用于面部表情检测系统的可行性。成功区分了高兴、悲伤和厌恶三种面部表情。由于传感器的独特特性，它在面部表情检测、人体监测和机器人技术领域具有广泛的潜在应用。进行了实验以评估将应变传感器应用于面部表情检测系统的可行性。成功区分了高兴、悲伤和厌恶三种面部表情。由于传感器的独特特性，它在面部表情检测、人体监测和机器人技术领域具有广泛的潜在应用。进行了实验以评估将应变传感器应用于面部表情检测系统的可行性。成功区分了高兴、悲伤和厌恶三种面部表情。由于传感器的独特特性，它在面部表情检测、人体监测和机器人技术领域具有广泛的潜在应用。