Direct lightweight temporal compression for wearable sensor data
![Thumbnail](/xmlui/bitstream/handle/10234/192551/09324996.pdf.jpg?sequence=5&isAllowed=y)
Ver/ Abrir
Impacto
![Google Scholar](/xmlui/themes/Mirage2/images/uji/logo_google.png)
![Microsoft Academico](/xmlui/themes/Mirage2/images/uji/logo_microsoft.png)
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Direct lightweight temporal compression for wearable sensor dataAutoría
Fecha de publicación
2021-02-01Editor
IEEEISSN
2475-1472Cita bibliográfica
L. Klus et al., "Direct Lightweight Temporal Compression for Wearable Sensor Data," in IEEE Sensors Letters, vol. 5, no. 2, pp. 1-4, Feb. 2021, Art no. 7000404, doi: 10.1109/LSENS.2021.3051809Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://ieeexplore.ieee.org/document/9324996Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
![](/xmlui/themes/Mirage2/images/uji/materia_peq.png)
Resumen
Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things (IoT) devices are often deployed in critical infrastructure or health monitoring and require fast ... [+]
Emerging technologies enable massive deployment of wireless sensor networks across many industries. Internet of Things (IoT) devices are often deployed in critical infrastructure or health monitoring and require fast reaction time, reasonable accuracy, and high energy efficiency. In this letter, we introduce a lossy compression method for time-series data, named direct lightweight temporal compression (DLTC), enabling energy-efficient data transfer for power-restricted devices. Our method is based on the lightweight temporal compression method, targeting further reconstruction error minimization and complexity reduction. This letter highlights the key advantages of the proposed method and evaluates the method's performance on several sensor-based, time-series data types. We prove that DLTC outperforms the considered benchmark methods in compression efficiency at the same reconstruction error level. [-]
Publicado en
IEEE Sensors Letters, Vol. 5, no. 2, art no. 7000404 (Feb. 2021)Entidad financiadora
Funder Horizon 2020 Marie Sklodowska Curie Actions | Academy of Finland
Identificador de la entidad financiadora
10.13039/100010665 ; 10.13039/501100002341
Código del proyecto o subvención
813278 | 323244 | 319994
Título del proyecto o subvención
A-WEAR - A network for dinamic wearable applications with privacy constraints
Derechos de acceso
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- INIT_Articles [752]
El ítem tiene asociados los siguientes ficheros de licencia: