Pulse-Glasses: An unobtrusive, wearable HR monitor with Internet-of-Things functionality

Nicholas Constant, Orrett Douglas-Prawl, Samuel Johnson, K. Mankodiya
{"title":"Pulse-Glasses: An unobtrusive, wearable HR monitor with Internet-of-Things functionality","authors":"Nicholas Constant, Orrett Douglas-Prawl, Samuel Johnson, K. Mankodiya","doi":"10.1109/BSN.2015.7299350","DOIUrl":null,"url":null,"abstract":"The concurrent popularity of wearable sensors and Internet-of-Things (IoT) brings significant benefits to body sensor networks (BSN) that could communicate with the cloud computing platforms for bringing interoperability in health and wellness monitoring. We designed Pulse-Glasses that are cloud-connected, wearable, smart eyeglasses for unobtrusive and continuous heart rate (HR) monitoring. We 3D-printed the first prototype of Pulse-Glasses that use a photoplethysmography (PPG) sensor on one of the nose-pads to collect HR data. We integrated other circuits including an embedded board with Bluetooth low energy (BLE) and a rechargeable battery inside the two temples of Pulse-Glasses. We implemented IoT functionalities such that HR data are recorded from Pulse-Glasses, visualized on an Android smartphone, and stored seamlessly on the cloud. In this paper, we present the developments of Pulse-Glasses hardware including IoT services and the preliminary results from validation experiments. We compared Pulse-Glasses with a laboratory ECG system to cross-validate HR data collected during various activities-sitting, talking, and walking-performed by a participant. We used Pulse-Glasses to record HR data of a driver to test IoT functionalities of location services and BLE and cloud connectivity. The first set of results is promising and demonstrates the prospect of Pulse-Glasses in the field of cloud-connected BSN.","PeriodicalId":447934,"journal":{"name":"2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"47","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BSN.2015.7299350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 47

Abstract

The concurrent popularity of wearable sensors and Internet-of-Things (IoT) brings significant benefits to body sensor networks (BSN) that could communicate with the cloud computing platforms for bringing interoperability in health and wellness monitoring. We designed Pulse-Glasses that are cloud-connected, wearable, smart eyeglasses for unobtrusive and continuous heart rate (HR) monitoring. We 3D-printed the first prototype of Pulse-Glasses that use a photoplethysmography (PPG) sensor on one of the nose-pads to collect HR data. We integrated other circuits including an embedded board with Bluetooth low energy (BLE) and a rechargeable battery inside the two temples of Pulse-Glasses. We implemented IoT functionalities such that HR data are recorded from Pulse-Glasses, visualized on an Android smartphone, and stored seamlessly on the cloud. In this paper, we present the developments of Pulse-Glasses hardware including IoT services and the preliminary results from validation experiments. We compared Pulse-Glasses with a laboratory ECG system to cross-validate HR data collected during various activities-sitting, talking, and walking-performed by a participant. We used Pulse-Glasses to record HR data of a driver to test IoT functionalities of location services and BLE and cloud connectivity. The first set of results is promising and demonstrates the prospect of Pulse-Glasses in the field of cloud-connected BSN.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
脉冲眼镜:一种不显眼的可穿戴式人力资源监视器,具有物联网功能
可穿戴传感器和物联网(IoT)的同时流行,为身体传感器网络(BSN)带来了巨大的好处,它可以与云计算平台进行通信,从而实现健康和健康监测的互操作性。我们设计了Pulse-Glasses,这是一种云连接的、可穿戴的智能眼镜,用于不显眼的、持续的心率监测。我们3d打印了脉冲眼镜的第一个原型,它在一个鼻垫上使用光电体积脉搏描记(PPG)传感器来收集HR数据。我们将其他电路集成在Pulse-Glasses的两个太阳穴内,包括带有低功耗蓝牙(BLE)的嵌入式板和可充电电池。我们实现了物联网功能,这样人力资源数据就可以从Pulse-Glasses中记录下来,在Android智能手机上可视化,并无缝存储在云端。在本文中,我们介绍了Pulse-Glasses硬件的发展,包括物联网服务和验证实验的初步结果。我们将脉冲眼镜与实验室心电图系统进行比较,以交叉验证参与者在各种活动(坐、说话和行走)中收集的HR数据。我们使用Pulse-Glasses记录驾驶员的人力资源数据,以测试位置服务、BLE和云连接的物联网功能。第一组结果是有希望的,并展示了脉冲眼镜在云连接BSN领域的前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Design of a smart insole for ambulatory assessment of gait Anticipatory signals in kinematics and muscle activity during functional grasp and release Piezoelectrets and their applications as wearable physiological-signal sensors and energy harvesters Automated guidance from physiological sensing to reduce thermal-work strain levels on a novel task An unsupervised approach for gait-based authentication
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1