Inertial based hand position tracking for future applications in rehabilitation environments

This work is about the application of a wireless and miniaturized MEMS based Attitude and Heading Reference System for the estimation of hands position during standard rehabilitation exercises. The 3D orientation of the platform, computed on-board, along with the acceleration data, are collected by...

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Bibliographic Details
Published in2015 6th International Workshop on Advances in Sensors and Interfaces (IWASI) pp. 222 - 227
Main Authors Comotti, Daniele, Caldara, Michele, Galizzi, Michael, Locatelli, Patrick, Re, Valerio
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
3D orientation
Acceleration
AHRS
Estimation
Gravity
hand tracking
IMU
MEMS sensors
position tracking
rehabilitation
Sensors
Three-dimensional displays
Tracking
Wrist
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Summary:This work is about the application of a wireless and miniaturized MEMS based Attitude and Heading Reference System for the estimation of hands position during standard rehabilitation exercises. The 3D orientation of the platform, computed on-board, along with the acceleration data, are collected by a computer. A specific algorithm has been developed in order to provide a reliable 3D position tracking of the hand without suffering from common error sources of MEMS sensors data processing, such as integration drift, inaccurate calibration procedures and finite integration times. This paper presents the setup, the developed algorithm and the preliminary results achieved with both a mechanical arm and a set of standard physical exercises performed by a human.
DOI:10.1109/IWASI.2015.7184959