Posture Monitoring System for Context Awareness in Mobile Computing

The posture of a user is one of the contextual information that can be used for mobile applications and the treatment of idiopathic scoliosis. This paper describes a method for monitoring the posture of a user during operation of a mobile device in three activities such as sitting, standing, and wal...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2010-06, Vol.59 (6), p.1589-1599
Main Authors: Baek, Jonghun, Yun, Byoung-Ju
Format: Article
Language:English
Subjects:
Acceleration
Accelerometer
Accelerometers
angle measurement
Butterworth filter
Calibration
Computation
Context awareness
dot product
human-computer interaction
Legged locomotion
Mobile communication systems
Mobile computing
Monitoring
PDA
Personal digital assistants
Physics computing
Posture
posture monitoring
Product introduction
Robustness
user interface (UI)
Wireless communications
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The posture of a user is one of the contextual information that can be used for mobile applications and the treatment of idiopathic scoliosis. This paper describes a method for monitoring the posture of a user during operation of a mobile device in three activities such as sitting, standing, and walking. The user posture monitoring system (UPMS) proposed in this paper is based on two major technologies. The first involves a tilt-angle measurement algorithm (TAMA) using an accelerometer. Unlike most previous studies, it is based on a relative computation using the dot product from the time-series acceleration data. Because TAMA does not require a physical calibration by a user, it is more robust and accurate compared to other methods that rely on absolute computations. The second technology is an effective signal-processing method that eliminates the motion acceleration component of the accelerometer signal using a second-order Butterworth low-pass filter (SLPF). Because the posture of a user is only related to the gravity acceleration component, the motion acceleration components should be removed. The TAMA and UPMS are implemented on a personal digital assistant (PDA). They are evaluated to verify the possibility of application to a mobile device. Additionally, a posture-based intelligent control interface in context-aware computing that reacts to the posture of a PDA user is implemented on the PDA to complement the poor user interface (UI) of the mobile device, and its results are presented.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2009.2022102