Sustained logging and discrimination of sleep postures with low-level, wrist-worn sensors

We present a study which evaluates the use of simple low-power sensors for a long-term, coarse-grained detection of sleep postures. In contrast to the information-rich but complex recording methods used in sleep studies, we follow a paradigm closer to that of actigraphy by using a wrist-worn device...

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Bibliographic Details
Main Authors: Van Laerhoven, K., Borazio, M., Kilian, D., Schiele, B.
Format: Conference Proceeding
Language:English
Subjects:
Computer displays
Detectors
Electrodes
Electromyography
Face detection
Monitoring
Motion detection
Sleep apnea
Wearable sensors
Wrist
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Summary:We present a study which evaluates the use of simple low-power sensors for a long-term, coarse-grained detection of sleep postures. In contrast to the information-rich but complex recording methods used in sleep studies, we follow a paradigm closer to that of actigraphy by using a wrist-worn device that continuously logs and processes data from the user. Experiments show that it is feasible to detect nightly sleep periods with a combination of light and simple motion and posture sensors, and to detect within these segments what basic sleeping postures the user assumes. These findings can be of value in several domains, such as monitoring of sleep apnea disorders, and support the feasibility of a continuous home-monitoring of sleeping trends where users wear the sensor device uninterruptedly for weeks to months in a row.
ISSN:1550-4816
2376-8541
DOI:10.1109/ISWC.2008.4911588