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Explore technology innovation and intelligence for IoT (Internet of Things) based eyewear technology

机译：探索基于物联网（IoT）眼镜技术的技术创新和智能

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摘要

Advances in wireless Internet and mobile communications devices have driven significant development in the Internet of Things (IoT), bringing a stream of innovative technologies and services. This study explores the technology innovation and intelligence for IoT (internet of things) based eyewear technology. This study proposes a two-stage patent analysis based on the quality function development (QFD) method which adopts customer requirement and technology viewpoints to explore key technologies. This methodology can recognize the specific technologies with development potential in the eyewear industry, and identify holders of key relevant patents. This study fmds that consumers value functions including motion tracking, reminders, eye state detection, and non-eye disease detection. Key technologies with development potential for satisfying customer demand include eyewear, communications protocols, and sensors. Thus, embedding micron-scale sensors directly into contact lenses to monitor user physiological data can satisfy customer demand and is considered as emerging technology in the smart eyewear industry. Furthermore, patent portfolios of these technologies vary among different countries and regions, with the US and EU focusing on eye tracking, motion tracking, and identity verification, while China focuses on eye fatigue detection, distance measurement, and wireless frequency technologies. Visualizations of overall research results can benefit eyewear-related patent holders, eyewear manufacturers and smart wearable manufacturers to build their patent portfolio strategies on the basis of regional or country considerations.
机译：无线互联网和移动通信设备的进步推动了物联网（IoT）的重大发展，带来了一系列创新技术和服务。这项研究探索了基于IoT（物联网）的眼镜技术的技术创新和智能。这项研究提出了一种基于质量功能开发（QFD）方法的两阶段专利分析，该方法采用了客户需求和技术观点来探索关键技术。这种方法论可以识别在眼镜行业具有发展潜力的特定技术，并确定关键相关专利的持有者。这项研究表明，消费者重视功能，包括运动跟踪，提醒，眼睛状态检测和非眼睛疾病检测。具有发展潜力以满足客户需求的关键技术包括眼镜，通信协议和传感器。因此，将微米级传感器直接嵌入隐形眼镜中以监视用户生理数据可以满足客户需求，并被认为是智能眼镜行业中的新兴技术。此外，这些技术的专利组合在不同的国家和地区之间也有所不同，美国和欧盟侧重于眼睛跟踪，运动跟踪和身份验证，而中国则侧重于眼睛疲劳检测，距离测量和无线频率技术。整体研究结果的可视化可以使与眼镜相关的专利持有人，眼镜制造商和智能可穿戴制造商受益，从而可以根据地区或国家的考虑来制定其专利组合策略。

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