Calibration free upper limb joint motion estimation algorithm with wearable sensors

Max van Lith, Justin Fong, Vincent Crocher, Ying Tan, Iven Mareels, Denny Oetomo

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)

Abstract

This paper aims to establish a post processing algorithm to estimate the upper limb motion, given a set of measurements from wearable sensors representing the orientation of the shoulder, upper arm and lower arm. The motivation of the development is the measurement of the upper limb motion for subjects with motor impairments, such as post-stroke patients preventing the use of specific motions for calibration purposes and allowing the sensors to be relatively insensitive to their mounting positions. The type of sensors has been left general, with the experimental validation in this paper carried out using inertial sensors and magnetic trackers. The method is validated both numerically and experimentally, and shows improvements compared to the common inverse kinematics approach, especially in the practical conditions where sensor mounting alignment is suboptimal.

Original languageEnglish
Title of host publication2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5090-3549-6
ISBN (Print)978-1-5090-3550-2
DOIs
Publication statusPublished - 31 Jan 2017
Event14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016) - Phuket, Thailand
Duration: 13 Nov 201615 Nov 2016
Conference number: 14
http://icarcv.org/2016/home.asp

Conference

Conference14th International Conference on Control, Automation, Robotics and Vision (ICARCV 2016)
Abbreviated titleICARCV 2016
CountryThailand
CityPhuket
Period13/11/1615/11/16
Internet address

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