Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer
The streaming and recording of smartphone sensor signals is desirable for mHealth, telemedicine, environmental monitoring and other applications. Time series data gathered in these fields typically benefit from the time-synchronized integration of different sensor signals. However, solutions require...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/23/8135 |
| _version_ | 1827674598642024448 |
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| author | Sarah Blum Daniel Hölle Martin Georg Bleichner Stefan Debener |
| author_facet | Sarah Blum Daniel Hölle Martin Georg Bleichner Stefan Debener |
| author_sort | Sarah Blum |
| collection | DOAJ |
| description | The streaming and recording of smartphone sensor signals is desirable for mHealth, telemedicine, environmental monitoring and other applications. Time series data gathered in these fields typically benefit from the time-synchronized integration of different sensor signals. However, solutions required for this synchronization are mostly available for stationary setups. We hope to contribute to the important emerging field of portable data acquisition by presenting open-source Android applications both for the synchronized streaming (Send-a) and recording (Record-a) of multiple sensor data streams. We validate the applications in terms of functionality, flexibility and precision in fully mobile setups and in hybrid setups combining mobile and desktop hardware. Our results show that the fully mobile solution is equivalent to well-established desktop versions. With the streaming application Send-a and the recording application Record-a, purely smartphone-based setups for mobile research and personal health settings can be realized on off-the-shelf Android devices. |
| first_indexed | 2024-03-10T04:44:30Z |
| format | Article |
| id | doaj.art-821006b605ea42a6b5fa7e9ca86e603e |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T04:44:30Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-821006b605ea42a6b5fa7e9ca86e603e2023-11-23T03:04:30ZengMDPI AGSensors1424-82202021-12-012123813510.3390/s21238135Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming LayerSarah Blum0Daniel Hölle1Martin Georg Bleichner2Stefan Debener3Neuropsychology Lab, Department of Psychology, University of Oldenburg, 26111 Oldenburg, GermanyNeurophysiology of Everyday Life Group, Department of Psychology, University of Oldenburg, 26111 Oldenburg, GermanyNeurophysiology of Everyday Life Group, Department of Psychology, University of Oldenburg, 26111 Oldenburg, GermanyNeuropsychology Lab, Department of Psychology, University of Oldenburg, 26111 Oldenburg, GermanyThe streaming and recording of smartphone sensor signals is desirable for mHealth, telemedicine, environmental monitoring and other applications. Time series data gathered in these fields typically benefit from the time-synchronized integration of different sensor signals. However, solutions required for this synchronization are mostly available for stationary setups. We hope to contribute to the important emerging field of portable data acquisition by presenting open-source Android applications both for the synchronized streaming (Send-a) and recording (Record-a) of multiple sensor data streams. We validate the applications in terms of functionality, flexibility and precision in fully mobile setups and in hybrid setups combining mobile and desktop hardware. Our results show that the fully mobile solution is equivalent to well-established desktop versions. With the streaming application Send-a and the recording application Record-a, purely smartphone-based setups for mobile research and personal health settings can be realized on off-the-shelf Android devices.https://www.mdpi.com/1424-8220/21/23/8135mobile computingsensor integrationmobile healthsmartphone sensor integrationtime series analysis |
| spellingShingle | Sarah Blum Daniel Hölle Martin Georg Bleichner Stefan Debener Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer Sensors mobile computing sensor integration mobile health smartphone sensor integration time series analysis |
| title | Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer |
| title_full | Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer |
| title_fullStr | Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer |
| title_full_unstemmed | Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer |
| title_short | Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer |
| title_sort | pocketable labs for everyone synchronized multi sensor data streaming and recording on smartphones with the lab streaming layer |
| topic | mobile computing sensor integration mobile health smartphone sensor integration time series analysis |
| url | https://www.mdpi.com/1424-8220/21/23/8135 |
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