智能手环的设计与功能改进

Shi-yi Wang, Zhiru Wang, Xinzhe Zhao
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引用次数: 0

摘要

随着智能可穿戴设备的日益发展和普及,智能手环已成为当今最热门的智能设备之一。本文通过对现有产品的对比分析,从用户界面和模块设计、安全性、健康问题处理三个主要方向提出改进策略,以提供更易于使用、符合老年人健康需求的产品。在用户界面和模块设计方向,建议增加手势识别功能,并在现有技术基础上向非接触识别方向发展,同时利用机器学习实现个性化识别。在个性化模块设计的基础上,安装 GPS 跟踪装置,防止用户被跟踪;新增网络模块,使用户在偏远地区遇到危险时能及时与他人取得联系。安全方面的改进策略包括数据传输、存储和设备安全。在健康问题处理方面,提出通过场景识别实现防跌倒,通过用户信息优化跌倒检测功能。此外,本文还以紫外线照射为例,指出智能手环设备可以加入新的指标检测技术来预防一些疾病。同时,还可以开发全语音交互系统,满足老年人的社交需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Bracelet Design and Function Improvement
With the increasing development and popularity of smart wearable devices, smart bracelets have become one of the hottest smart devices today. Through a comparative analysis of existing products, this paper proposes improvement strategies in the three main directions of UI and module design, security, and handling of health issues to provide a product that is easier to use and meets the health needs of the elderly. For the direction of UI and module design, it is proposed to add the gesture recognition function and develop it in the direction of non-contact recognition based on the existing technology, and at the same time, use machine learning to achieve personalized recognition. Based on personalized module design, a GPS tracking device is installed to prevent users from being tracked, and a new network module is added to enable users to get in touch with others at a time when they encounter danger in remote areas. Improvement strategies in the security direction include data transmission, storage, and device security. The smart bracelet can use trusted computing for data encryption and storage by adding low-power core and optimizing the data transmission in three paths: local area network (LAN), public network (PN), and the cloud.Regarding health problem processing, it is proposed to achieve fall prevention through scene recognition and optimize the fall detection function through user information. In addition, this paper takes UV irradiation as an example to point out that smart bracelet devices can be added with new indicator detection technology to prevent some diseases. At the same time, a full voice interaction system can be developed to meet the social needs of the elderly.
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