Nicholas Constant, Orrett Douglas-Prawl, Samuel Johnson, K. Mankodiya
{"title":"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","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":"{\"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}","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}
Pulse-Glasses: An unobtrusive, wearable HR monitor with Internet-of-Things functionality
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.