Lossy Compression Methods for Performance-Restricted Wearable Devices
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Otros documentos de la autoría: Klus, Lucie; Lohan, Elena Simona; Granell, Carlos; Nurmi, Jari
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Título
Lossy Compression Methods for Performance-Restricted Wearable DevicesFecha de publicación
2020Editor
CEUR Workshop ProceedingsISSN
1613-0073Cita bibliográfica
Klus, L., Lohan, E. S., Granell, C., & Nurmi, J. (2020). Lossy compression methods for performance-restricted wearable devices. In WiP Proceedings of the International Conference on Localization and GNSS (ICL-GNSS 2020). CEUR-WS.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
With the increasing popularity, diversity, and utilization of wearable devices, the data transfer-andstorage efficiency becomes increasingly important. This paper evaluates a set of compression techniques regarding ... [+]
With the increasing popularity, diversity, and utilization of wearable devices, the data transfer-andstorage efficiency becomes increasingly important. This paper evaluates a set of compression techniques regarding their utilization in crowdsourced wearable data. Transform-based Discrete Cosine
Transform (DCT), interpolation-based Lightweight Temporal Compression (LTC) and dimensionality reduction-focused Symbolic Aggregate Approximation (SAX) were chosen as traditional methods.
Additionally, an altered SAX (ASAX) is proposed by the authors and implemented to overcome some
of the shortcomings of the traditional methods. As one of the most commonly measured entities in
wearable devices, heart rate data were chosen to compare the performance and complexity of the
selected compression methods. Main results suggest that best compression results are obtained with
LTC, which is also the most complex of the studied methods. The best performance-complexity
trade-off is achieved with SAX. Our proposed ASAX has the best dynamic properties among the
evaluated methods. [-]
Descripción
Part de la conferència:
10th International Conference on Localization and GNSS (ICL GNSS 2020) . Tampere (Finlandia)
Publicado en
ICL-GNSS 2020 WiP Proceedings, June 02–04, 2020, Tampere, FinlandEntidad financiadora
European Union
Código del proyecto o subvención
info:eu-repo/grantAgreement/EC/H2020/813278
Título del proyecto o subvención
European Union’s Horizon 2020 Research and Innovation programme
Derechos de acceso
⃝c 2020 Copyright for this paper by its authors.
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/openAccess