A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints
In this paper, we present a new factorized quaternion approach for determining the arm limbs' orientation using triaxial accelerometers with consideration of anatomical and sensor constraints. Typical use of the quaternion method determines the angle and axis of rotation represented by a single...
Saved in:
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/95933 http://hdl.handle.net/10220/11447 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-95933 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-959332020-03-07T14:02:45Z A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints Lee, Guo Xiong Low, Kay-Soon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this paper, we present a new factorized quaternion approach for determining the arm limbs' orientation using triaxial accelerometers with consideration of anatomical and sensor constraints. Typical use of the quaternion method determines the angle and axis of rotation represented by a single angle-axis quaternion. Different from the conventional approach, we propose using the factorized quaternion approach for the determination of arm motions. This approach allows the implementation of anatomical arm constraints which match the range of motion of the human arm and also reduces the ambiguity in solutions. In addition, the singularities arising from the use of triaxial accelerometers can be detected and resolved for a transient state. Measurement of the upper arm motion is demonstrated along a vertical plane and extended along a tilted plane for the forearm. Experiments have been conducted using a wireless sensor network equipped with triaxial accelerometers attached to the arm. The results have been benchmarked with a commercial inertial measurement unit to validate the feasibility and advantages of this new approach. Comparable performance in terms of accuracy has been obtained at a much reduced cost and power consumption. 2013-07-15T07:41:12Z 2019-12-06T19:23:29Z 2013-07-15T07:41:12Z 2019-12-06T19:23:29Z 2012 2012 Journal Article Lee, G. X., & Low, K.-S. (2012). A Factorized Quaternion Approach to Determine the Arm Motions Using Triaxial Accelerometers With Anatomical and Sensor Constraints. IEEE Transactions on Instrumentation and Measurement, 61(6), 1793-1802. https://hdl.handle.net/10356/95933 http://hdl.handle.net/10220/11447 10.1109/TIM.2011.2181884 en IEEE transactions on instrumentation and measurement © 2012 IEEE. |
institution |
Nanyang Technological University |
building |
NTU Library |
country |
Singapore |
collection |
DR-NTU |
language |
English |
topic |
DRNTU::Engineering::Electrical and electronic engineering |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Lee, Guo Xiong Low, Kay-Soon A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints |
description |
In this paper, we present a new factorized quaternion approach for determining the arm limbs' orientation using triaxial accelerometers with consideration of anatomical and sensor constraints. Typical use of the quaternion method determines the angle and axis of rotation represented by a single angle-axis quaternion. Different from the conventional approach, we propose using the factorized quaternion approach for the determination of arm motions. This approach allows the implementation of anatomical arm constraints which match the range of motion of the human arm and also reduces the ambiguity in solutions. In addition, the singularities arising from the use of triaxial accelerometers can be detected and resolved for a transient state. Measurement of the upper arm motion is demonstrated along a vertical plane and extended along a tilted plane for the forearm. Experiments have been conducted using a wireless sensor network equipped with triaxial accelerometers attached to the arm. The results have been benchmarked with a commercial inertial measurement unit to validate the feasibility and advantages of this new approach. Comparable performance in terms of accuracy has been obtained at a much reduced cost and power consumption. |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Lee, Guo Xiong Low, Kay-Soon |
format |
Article |
author |
Lee, Guo Xiong Low, Kay-Soon |
author_sort |
Lee, Guo Xiong |
title |
A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints |
title_short |
A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints |
title_full |
A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints |
title_fullStr |
A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints |
title_full_unstemmed |
A factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints |
title_sort |
factorized quaternion approach to determine the arm motions using triaxial accelerometers with anatomical and sensor constraints |
publishDate |
2013 |
url |
https://hdl.handle.net/10356/95933 http://hdl.handle.net/10220/11447 |
_version_ |
1681049596857417728 |