基于Aquasense AI技术的混合AI驱动仿生可穿戴传感器用于动态环境下的多模态健康监测和康复

IF 2.5 4区 计算机科学 Q3 TELECOMMUNICATIONS
J. Poongodi, K. Kavitha, S. Sathish, R. Lakshmana Kumar
{"title":"基于Aquasense AI技术的混合AI驱动仿生可穿戴传感器用于动态环境下的多模态健康监测和康复","authors":"J. Poongodi,&nbsp;K. Kavitha,&nbsp;S. Sathish,&nbsp;R. Lakshmana Kumar","doi":"10.1002/ett.70081","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>AquaSense AI is a bio-inspired, wearable sensor system that enables a paradigmatic shift in healthcare and physiotherapy, emulating nature's sensory capabilities of aquatic animals. Flexible, waterproof sensors are used to detect human motion, balance, and posture on land and in water. AquaSense AI is perfect for application in swimming pools and hydrotherapy sessions. AquaSense AI delivers real-time, high-precision feedback to enable effective rehabilitation, fall prevention, and fitness monitoring. In Under water, these sensors follow a person's posture and the coordination of their limbs through the detection of pressure changes, while on land, they monitor gait, posture, and balance. The sophisticated AI algorithms within the system, including Hierarchical Adaptive Neural Network (HANN) and Multimodal Self-Learning Framework, adjust sensor sensitivity to the environment and provide personalized feedback over time, continuously adapting to the movements and rehabilitation progress of the user. The bio-inspired design, adaptive AI, and real-time predictive analytics can provide dual functionality at clinical and fitness applications, improving safety, rehabilitation outcomes, and general health monitoring in diverse environments.</p>\n </div>","PeriodicalId":23282,"journal":{"name":"Transactions on Emerging Telecommunications Technologies","volume":"36 3","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid AI-Driven Bio-Inspired Wearable Sensors With Aquasense AI Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments\",\"authors\":\"J. Poongodi,&nbsp;K. Kavitha,&nbsp;S. Sathish,&nbsp;R. Lakshmana Kumar\",\"doi\":\"10.1002/ett.70081\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>AquaSense AI is a bio-inspired, wearable sensor system that enables a paradigmatic shift in healthcare and physiotherapy, emulating nature's sensory capabilities of aquatic animals. Flexible, waterproof sensors are used to detect human motion, balance, and posture on land and in water. AquaSense AI is perfect for application in swimming pools and hydrotherapy sessions. AquaSense AI delivers real-time, high-precision feedback to enable effective rehabilitation, fall prevention, and fitness monitoring. In Under water, these sensors follow a person's posture and the coordination of their limbs through the detection of pressure changes, while on land, they monitor gait, posture, and balance. The sophisticated AI algorithms within the system, including Hierarchical Adaptive Neural Network (HANN) and Multimodal Self-Learning Framework, adjust sensor sensitivity to the environment and provide personalized feedback over time, continuously adapting to the movements and rehabilitation progress of the user. The bio-inspired design, adaptive AI, and real-time predictive analytics can provide dual functionality at clinical and fitness applications, improving safety, rehabilitation outcomes, and general health monitoring in diverse environments.</p>\\n </div>\",\"PeriodicalId\":23282,\"journal\":{\"name\":\"Transactions on Emerging Telecommunications Technologies\",\"volume\":\"36 3\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transactions on Emerging Telecommunications Technologies\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ett.70081\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions on Emerging Telecommunications Technologies","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ett.70081","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0

摘要

AquaSense AI是一种受生物启发的可穿戴传感器系统,可以模拟水生动物的自然感官能力,从而实现医疗保健和物理治疗的典范转变。柔性防水传感器用于检测人类在陆地和水中的运动、平衡和姿势。AquaSense AI是完美的应用在游泳池和水疗会议。AquaSense AI提供实时、高精度的反馈,以实现有效的康复、预防跌倒和健康监测。在水下,这些传感器通过检测压力变化来跟踪人的姿势和四肢的协调,而在陆地上,它们监测步态、姿势和平衡。系统内复杂的人工智能算法,包括层次自适应神经网络(HANN)和多模态自学习框架,根据环境调整传感器灵敏度,并随着时间的推移提供个性化反馈,不断适应用户的运动和康复进度。仿生设计、自适应人工智能和实时预测分析可以在临床和健身应用中提供双重功能,在不同环境中提高安全性、康复效果和一般健康监测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Hybrid AI-Driven Bio-Inspired Wearable Sensors With Aquasense AI Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments

Hybrid AI-Driven Bio-Inspired Wearable Sensors With Aquasense AI Technology for Multimodal Health Monitoring and Rehabilitation in Dynamic Environments

AquaSense AI is a bio-inspired, wearable sensor system that enables a paradigmatic shift in healthcare and physiotherapy, emulating nature's sensory capabilities of aquatic animals. Flexible, waterproof sensors are used to detect human motion, balance, and posture on land and in water. AquaSense AI is perfect for application in swimming pools and hydrotherapy sessions. AquaSense AI delivers real-time, high-precision feedback to enable effective rehabilitation, fall prevention, and fitness monitoring. In Under water, these sensors follow a person's posture and the coordination of their limbs through the detection of pressure changes, while on land, they monitor gait, posture, and balance. The sophisticated AI algorithms within the system, including Hierarchical Adaptive Neural Network (HANN) and Multimodal Self-Learning Framework, adjust sensor sensitivity to the environment and provide personalized feedback over time, continuously adapting to the movements and rehabilitation progress of the user. The bio-inspired design, adaptive AI, and real-time predictive analytics can provide dual functionality at clinical and fitness applications, improving safety, rehabilitation outcomes, and general health monitoring in diverse environments.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.90
自引率
13.90%
发文量
249
期刊介绍: ransactions on Emerging Telecommunications Technologies (ETT), formerly known as European Transactions on Telecommunications (ETT), has the following aims: - to attract cutting-edge publications from leading researchers and research groups around the world - to become a highly cited source of timely research findings in emerging fields of telecommunications - to limit revision and publication cycles to a few months and thus significantly increase attractiveness to publish - to become the leading journal for publishing the latest developments in telecommunications
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信