Literature DB >> 16041990

The development and test of a device for the reconstruction of 3-D position and orientation by means of a kinematic sensor assembly with rate gyroscopes and accelerometers.

Daniele Giansanti1, Giovanni Maccioni, Velio Macellari.   

Abstract

In this paper, we propose a device for the Position and Orientation (P&O) reconstruction of human segmental locomotion tasks. It is based on three mono-axial accelerometers and three angular velocity sensors, geometrically arranged to form two orthogonal terns. The device was bench tested using step-by-step motor-based equipment. The characteristics of the six channels under bench test conditions were: crosstalk absent, non linearity < +/- 0.1% fs, hysteresis < 0.1% fs, accuracy 0.3% fs, overall resolution better than 0.04 deg/s, 2 x g x 10(-4). The device was validated with the stereophotogrammetric body motion analyzer during the execution of three different locomotion tasks: stand-to-sit, sit-to-stand, gait-initiation. Results obtained comparing the trajectories of the two methods showed that the errors were lower than 3 x 10(-2) m and 2 deg during a 4s of acquisition and lower than 6 x 10(-3) m and 0.2 deg during the effective duration of a locomotory task; showing that the wearable device hereby presented permits the 3-D reconstruction of the movement of the body segment to which it is affixed for time-limited clinical applications.

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Year:  2005        PMID: 16041990     DOI: 10.1109/TBME.2005.847404

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  7 in total

1.  Real-Time Arm Tracking for HMI Applications.

Authors:  Matthew Masters; Luke Osborn; Nitish Thakor; Alcimar Soares
Journal:  Int Conf Wearable Implant Body Sens Netw       Date:  2015-10-19

2.  Inertial measurement units furnish accurate trunk trajectory reconstruction of the sit-to-stand manoeuvre in healthy subjects.

Authors:  Daniele Giansanti; Giovanni Maccioni; Francesco Benvenuti; Velio Macellari
Journal:  Med Biol Eng Comput       Date:  2007-07-25       Impact factor: 2.602

3.  The mHealth in the canine assisted therapy: the design and application of a kit for the wearable monitoring during a walking session.

Authors:  Daniele Giansanti; Giovanni Maccioni
Journal:  Mhealth       Date:  2020-04-05

4.  Health in the palm of your hand-part 1: the risks from smartphone abuse and the role of telemedicine and e-Health.

Authors:  Daniele Giansanti; Giovanni Maccioni
Journal:  Mhealth       Date:  2021-07-20

5.  Early Detection of the Initiation of Sit-to-Stand Posture Transitions Using Orthosis-Mounted Sensors.

Authors:  Abul Doulah; Xiangrong Shen; Edward Sazonov
Journal:  Sensors (Basel)       Date:  2017-11-23       Impact factor: 3.576

Review 6.  Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion.

Authors:  Alessandro Filippeschi; Norbert Schmitz; Markus Miezal; Gabriele Bleser; Emanuele Ruffaldi; Didier Stricker
Journal:  Sensors (Basel)       Date:  2017-06-01       Impact factor: 3.576

7.  Computationally Efficient 3D Orientation Tracking Using Gyroscope Measurements.

Authors:  Sara Stančin; Sašo Tomažič
Journal:  Sensors (Basel)       Date:  2020-04-15       Impact factor: 3.576

  7 in total

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