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.
Open Access
Issue release: 30 June 2025
Parkinson’s disease (PD) is a progressive neurological disorder that gradually impairs bodily movements, making early diagnosis critical for slowing symptom progression and improving patients’ quality of life. As initial symptoms can be subtle, modern wearable sensor technologies play a vital role in monitoring patient movement and behavior. This review explores the applications of wearable sensors in diagnosing and managing Parkinson’s disease, drawing from 35 relevant studies published between 2015 and 2024. Findings indicate that 60%–80% of early-stage PD patients exhibit both motor and non-motor symptoms that can be effectively detected using motion sensors and electrophysiological methods, achieving approximately 90% accuracy in monitoring movement patterns. The incorporation of the Internet of Things (IoT) and machine learning has significantly enhanced the performance of these devices. Overall, wearable sensors are recognized as effective tools for early diagnosis and ongoing management of Parkinson’s disease, with the potential to improve patients’ quality of life and facilitate treatment processes. Future advancements should focus on developing smarter sensors and utilizing advanced algorithms for data analysis to maximize their clinical utility.
Prof. Zhen Cao
College of Information Science & Electronic Engineering, Zhejiang University
China, China
Processing Speed
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- ＜5 days from submission to initial review decision;
- 62% acceptance rate
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