دانلود رایگان مقاله بررسی نوآوری تکنولوژی و هوش برای IoT (اینترنت اشیا) بر اساس تکنولوژی Eyewear

ABSTRACT

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 finds 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.

6. Conclusion

After implementing this two-stage QFD based patent analysis, theresult showed that the 3 most important technology items which can satisfy customer demand are as follows: Eyewear (T28), Communication Protocols (T2), and Sensors (T16). The contribution of this research identifies 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. The findings of this research support that commercialization of these smart contact lenses are springing up all over the world. Based upon the results of this smart eyewear exploration, our future work intends to investigate deeply such commercialization of smart contact lenses and explore whether and how these commercialization can apply in other smart wearables. However, qualified and experienced experts in smart eyewear field are quite rare in this study. We recognize the justice and objectivity of the QFD What-How matrix based on the results of expert interviews can be adequately enhanced by inviting more experts in the following work. As to the patent portfolio by countries, China is the world's largest eyewear market, and holds the largest number of patents related to smart eyewear. However, the patent holders are largely fragmented, with many associated with academic research institutions. Thus, though China has a large number of patents, they have a relatively low citation rate and many of the patents are relatively weak. In contrast, US patents are heavily cited, particularly for patents related to eye state tracking, eye disease sensing, non-eye disease sensing, light sensing, motion tracking, and user authentication. China has potential for development in the fields of distance sensing, temperature sensing and message reminders. From the current patent distribution, the US and EU focus on eye movement tracking, motion tracking, and user authentication, while China's emphasis is on eye fatigue detection, distance sensing and radio frequency technologies. Visualizations of overall research results can benefit eyewear-related patent holders, eyewear manufacturers and smart wearable devices manufacturers to build their patent portfolio strategies on the basis of regional or country considerations.