The Internet of Things (IoT) uses implanted or attached microsensors to integrate objects into wireless networks allowing objects to interact with one another, and for people to interact with objects, thus ensuring a reliable and continuous exchange of relevant information to improve quality of life (Chang and Chen, 2014). Advances in communications technology, sensing devices and big data processing techniques have driven the expansion of the IoT into smart home applications, environmental monitoring, healthcare, inventory management, public security, smart transport and smart logistics (Atzori et al., 2014; Li and Chen, 2012). Increasing health consciousness is leading people to be more aware of their physical condition. A variety of physiological signals can be recorded and tracked to help users engage in physical exercise, promote overall health, obtain early disease detection, and treat medical conditions, but traditional physiological measurements are taken on a regular, rather than continuous, basis, and thus lack immediacy and continuity which may help to reveal subtle health changes (Wu and Wang, 2014). According to Topology Research Institute estimates, by 2018, total global output of smart medical services, including remote monitoring, diagnostic equipment, assisted living and physiological data tracking, will exceed US$30 billion, and that the market for such products and services will expand by 60% annually from 2016 to 2018 as shown in Fig. 1. Smart Wearables definitely offer unprecedented opportunities for tackling pressing societal challenges by providing solutions in the areas of healthy ageing, patient monitoring and others (European Commission, 2016). According to International Data Corporation (IDC), several categories of wearable such as wrist wear, modular, clothing, eyewear, ear wear and more emerged onto the consumer scene for the wearable ecosystem. Smart eyewear, a wearable computing device, is web-connected and enables to transmit multiple types of data and project it in field of vision. Head – mounted displays can react on voice comments, eye movements, gestures or simple tactile commands (Wrzesińska, 2015). The shipments of smart eyewear were 1 million in 2015 and are predicted to be 4.5 million in 2019 and account for almost 4% of wearable devices (Richter, 2016). Moreover, medical diagnostics is expected to lead the application market of smart eyewear. MarketsandMarkets (2015) reported that the eye tracking market is estimated to reach USD 1028.1 Million by 2020, at a Compound annual growth rate of 35.2% between 2015 and 2020. Furthermore, a combination with smart contact lens and eyeglass could be used to monitor diabetes and deliver drugs and mean an end to the painful finger pricks diabetics endure (Patel, 2016). The present study proposes an integrated patent analysis and twostage quality function deployment method to explore smart eyewear applications such as medical diagnostics of eye tracking, eye state tracking and other conditions. This study can identify directions for future deployment of patents and technology positioning relevant to the IoT based eyewear industry. The results will provide a reference to the eyewear industry to grasp future development trends for innovative industry management.