Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios
Over recent years, we have witnessed the development of mobile and wearable technologies to collect data from human vital signs and activities. Nowadays, wrist wearables including sensors (e.g., heart rate, accelerometer, pedometer) that provide valuable data are common in market. We are working on...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-09-01
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| Series: | Sensors |
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| Online Access: | http://www.mdpi.com/1424-8220/16/9/1538 |
| _version_ | 1828351005306126336 |
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| author | Francisco de Arriba-Pérez Manuel Caeiro-Rodríguez Juan M. Santos-Gago |
| author_facet | Francisco de Arriba-Pérez Manuel Caeiro-Rodríguez Juan M. Santos-Gago |
| author_sort | Francisco de Arriba-Pérez |
| collection | DOAJ |
| description | Over recent years, we have witnessed the development of mobile and wearable technologies to collect data from human vital signs and activities. Nowadays, wrist wearables including sensors (e.g., heart rate, accelerometer, pedometer) that provide valuable data are common in market. We are working on the analytic exploitation of this kind of data towards the support of learners and teachers in educational contexts. More precisely, sleep and stress indicators are defined to assist teachers and learners on the regulation of their activities. During this development, we have identified interoperability challenges related to the collection and processing of data from wearable devices. Different vendors adopt specific approaches about the way data can be collected from wearables into third-party systems. This hinders such developments as the one that we are carrying out. This paper contributes to identifying key interoperability issues in this kind of scenario and proposes guidelines to solve them. Taking into account these topics, this work is situated in the context of the standardization activities being carried out in the Internet of Things and Machine to Machine domains. |
| first_indexed | 2024-04-14T01:33:13Z |
| format | Article |
| id | doaj.art-d6e4e55822df4459a13bd50eae659aae |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:33:13Z |
| publishDate | 2016-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-d6e4e55822df4459a13bd50eae659aae2022-12-22T02:20:05ZengMDPI AGSensors1424-82202016-09-01169153810.3390/s16091538s16091538Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User ScenariosFrancisco de Arriba-Pérez0Manuel Caeiro-Rodríguez1Juan M. Santos-Gago2Department of Telematics Engineering, University of Vigo, Campus Lagoas-Marcosende, Vigo 36310, SpainDepartment of Telematics Engineering, University of Vigo, Campus Lagoas-Marcosende, Vigo 36310, SpainDepartment of Telematics Engineering, University of Vigo, Campus Lagoas-Marcosende, Vigo 36310, SpainOver recent years, we have witnessed the development of mobile and wearable technologies to collect data from human vital signs and activities. Nowadays, wrist wearables including sensors (e.g., heart rate, accelerometer, pedometer) that provide valuable data are common in market. We are working on the analytic exploitation of this kind of data towards the support of learners and teachers in educational contexts. More precisely, sleep and stress indicators are defined to assist teachers and learners on the regulation of their activities. During this development, we have identified interoperability challenges related to the collection and processing of data from wearable devices. Different vendors adopt specific approaches about the way data can be collected from wearables into third-party systems. This hinders such developments as the one that we are carrying out. This paper contributes to identifying key interoperability issues in this kind of scenario and proposes guidelines to solve them. Taking into account these topics, this work is situated in the context of the standardization activities being carried out in the Internet of Things and Machine to Machine domains.http://www.mdpi.com/1424-8220/16/9/1538wearable sensorswearable computingdata interoperabilityinternet of thingsmachine to machine |
| spellingShingle | Francisco de Arriba-Pérez Manuel Caeiro-Rodríguez Juan M. Santos-Gago Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios Sensors wearable sensors wearable computing data interoperability internet of things machine to machine |
| title | Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios |
| title_full | Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios |
| title_fullStr | Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios |
| title_full_unstemmed | Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios |
| title_short | Collection and Processing of Data from Wrist Wearable Devices in Heterogeneous and Multiple-User Scenarios |
| title_sort | collection and processing of data from wrist wearable devices in heterogeneous and multiple user scenarios |
| topic | wearable sensors wearable computing data interoperability internet of things machine to machine |
| url | http://www.mdpi.com/1424-8220/16/9/1538 |
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