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Characterizing Sleeping Trends from Postures

Borazio, Marko and Blanke, Ulf and Van Laerhoven, Kristof (2010):
Characterizing Sleeping Trends from Postures.
Seoul, South Korea, IEEE Press, In: Proceedings of the 14th IEEE International Symposium on Wearable Computers (ISWC 2010), [Conference or Workshop Item]

Abstract

We present an approach to model sleeping trends, using a light-weight setup to be deployed over longer time-spans and with a minimum of maintenance by the user. Instead of characterizing sleep with traditional signals such as EEG and EMG, we propose to use sensor data that is a lot weaker, but also less invasive and that can be deployed unobtrusively for longer periods. By recording wrist-worn accelerometer data during a 4-week-long study, we explore in this poster how sleeping trends can be characterized over long periods of time by using sleeping postures only.

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Borazio, Marko and Blanke, Ulf and Van Laerhoven, Kristof
Title: Characterizing Sleeping Trends from Postures
Language: English
Abstract:

We present an approach to model sleeping trends, using a light-weight setup to be deployed over longer time-spans and with a minimum of maintenance by the user. Instead of characterizing sleep with traditional signals such as EEG and EMG, we propose to use sensor data that is a lot weaker, but also less invasive and that can be deployed unobtrusively for longer periods. By recording wrist-worn accelerometer data during a 4-week-long study, we explore in this poster how sleeping trends can be characterized over long periods of time by using sleeping postures only.

Place of Publication: Seoul, South Korea
Publisher: IEEE Press
Divisions: 20 Department of Computer Science > Embedded Sensing Systems
20 Department of Computer Science
Event Title: Proceedings of the 14th IEEE International Symposium on Wearable Computers (ISWC 2010)
Date Deposited: 17 Jan 2012 09:54
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