Radio Signature Based Posture Recognition Using WBSN

Alexis Aulery 1 Christian Roland 2 Jean-Philippe Diguet 1 Zheng Zhongwei 3 Olivier Sentieys 3 Pascal Scalart 3
1 Lab-STICC_UBS_CACS_MOCS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Lab-STICC_UBS_CACS_IAS
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
3 CAIRN - Energy Efficient Computing ArchItectures with Embedded Reconfigurable Resources
Inria Rennes – Bretagne Atlantique , IRISA-D3 - ARCHITECTURE
Abstract : A Body Network of IMUs is a well known solution for posture recognition based on accelerometer and magnetometer data fusion. However sensors and especially the magnetometer can be disturbed by the environment. Considering a wireless body sensor network, we propose to use available radio measurements as an alternative to the magnetometer. We show with simulation and real data, that the radio signal used for WSBN communications can also provide useful information despite highly noisy Received Signal Strength Indications (RSSI). We propose a solution for the static case that leads a very simple algorithmic solution.
Type de document :
Communication dans un congrès
The 14th International Conference on Information Processing in Sensor Networks (IPSN), Apr 2015, Seattle, United States. 2015
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https://hal.archives-ouvertes.fr/hal-01119109
Contributeur : Jean-Philippe Diguet <>
Soumis le : vendredi 20 février 2015 - 17:50:45
Dernière modification le : mercredi 16 mai 2018 - 11:23:27

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  • HAL Id : hal-01119109, version 1

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Alexis Aulery, Christian Roland, Jean-Philippe Diguet, Zheng Zhongwei, Olivier Sentieys, et al.. Radio Signature Based Posture Recognition Using WBSN. The 14th International Conference on Information Processing in Sensor Networks (IPSN), Apr 2015, Seattle, United States. 2015. 〈hal-01119109〉

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