This paper delves deeply into the innovative realm of integrating human emotions with wearable technology. The primary focus is on the conceptualization and development of a kiss transfer device that harnesses the power of wearable technology to bridge the physical gap in human-human interactions. By investigating the intricate nuances of the human-human kissing process, the research seeks to replicate this intimate gesture through a technological medium. The paper not only elaborates on the anatomy, evolution, and hormonal dynamics of kissing but also underscores the transformative potential of wearable technology in capturing and transmitting these intimate moments. This exploration opens up new horizons for long-distance relationships, offering a tangible touchpoint that goes beyond traditional communication methods. Through this pioneering work, the research positions wearable technology as not just a tool for communication but as an extension of our human emotions and expressions.
Overview of smart masks and research on new technology
Vol 2, Issue 2, 2021
VIEWS - 1604 (Abstract)
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Abstract
The smart mask is a new type of mask with active air supply and breathing. It adopts an external electric fan-forced air supply system, which can effectively reduce the user’s breathing load and achieve the purpose of improving comfort and user experience. However, in the current market, the function of smart masks is relatively simple with weak practicability and limited application. Based on these situations and in the research of a large number of smart masks and other types of masks, their application scenarios, advantages and disadvantages of the current technologies used in smart masks are analysed and compared to demonstrate their advantages in comfort and functionality. In terms of application prospects, new technologies can be integrated into the research and development of smart masks, providing new ideas for the research and development of new masks, which is crucial to the future market development of smart wearable products.
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References
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Copyright (c) 2021 Boyang Zhang, Yuxin Zheng, Yue Qiu, Liu Yang, Runqing Zhang, Yuhao Liao, Jun Xu
This work is licensed under a Creative Commons Attribution 4.0 International License.
Prof. Zhen Cao
College of Information Science & Electronic Engineering, Zhejiang University
China, China
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