By Topic

Estimation of sleeping posture for M-Health by a wearable tri-axis accelerometer

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kishimoto, Y. ; Graduate Sch. of Inf. Sci. & Technol., Aichi Perfectural Univ. ; Akahori, A. ; Oguri, K.

Sensor technology has been developed for measuring daily activity. Measurement instruments of all kinds have continued to become much smaller, consume less power, and increase in resolution and/or sensitivity. This study proposed a way to detect sleeping postures from data acquired using a tri-axis accelerometer strapped to subject's chest. We defined sleeping postures as five states focusing on basal-surface, which indicates the place of human's body on the ground. An evaluation was performed both manually by a technician and automatically by designed software. Results is that the accelerometer allowed us to accurately classify postures. Changes in posture were detected with a mean error of less than 3 s, which is acceptable for clinical cardiovascular applications.

Published in:

Medical Devices and Biosensors, 2006. 3rd IEEE/EMBS International Summer School on

Date of Conference:

4-6 Sept. 2006