Literature DB >> 22255089

Joint angle estimation in rehabilitation with inertial sensors and its integration with Kinect.

Antonio Padilha Lanari Bó1, Mitsuhiro Hayashibe, Philippe Poignet.   

Abstract

In this paper, we explore the combined use of inertial sensors and the Kinect for applications on rehabilitation robotics and assistive devices. In view of the deficiencies of each individual system, a new method based on Kalman filtering was developed in order to perform online calibration of sensor errors automatically whenever measurements from Kinect are available. The method was evaluated on experiments involving healthy subjects performing multiple DOF tasks.

Mesh:

Year:  2011        PMID: 22255089     DOI: 10.1109/IEMBS.2011.6090940

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  13 in total

Review 1.  Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review.

Authors:  Martin O'Reilly; Brian Caulfield; Tomas Ward; William Johnston; Cailbhe Doherty
Journal:  Sports Med       Date:  2018-05       Impact factor: 11.136

2.  Modifying Kinect placement to improve upper limb joint angle measurement accuracy.

Authors:  Na Jin Seo; Mojtaba F Fathi; Pilwon Hur; Vincent Crocher
Journal:  J Hand Ther       Date:  2016-10-18       Impact factor: 1.950

3.  Automating the Clinical Assessment of Independent Wheelchair Sitting Pivot Transfer Techniques.

Authors:  Lin Wei; Cheng-Shiu Chung; Alicia M Koontz
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-08-13

Review 4.  A review of computational approaches for evaluation of rehabilitation exercises.

Authors:  Yalin Liao; Aleksandar Vakanski; Min Xian; David Paul; Russell Baker
Journal:  Comput Biol Med       Date:  2020-03-04       Impact factor: 4.589

5.  KinoHaptics: An Automated, Wearable, Haptic Assisted, Physio-therapeutic System for Post-surgery Rehabilitation and Self-care.

Authors:  Vijay Rajanna; Patrick Vo; Jerry Barth; Matthew Mjelde; Trevor Grey; Cassandra Oduola; Tracy Hammond
Journal:  J Med Syst       Date:  2015-12-11       Impact factor: 4.460

6.  Pose estimation with a Kinect for ergonomic studies: evaluation of the accuracy using a virtual mannequin.

Authors:  Pierre Plantard; Edouard Auvinet; Anne-Sophie Le Pierres; Franck Multon
Journal:  Sensors (Basel)       Date:  2015-01-15       Impact factor: 3.576

7.  Hybrid Orientation Based Human Limbs Motion Tracking Method.

Authors:  Grzegorz Glonek; Adam Wojciechowski
Journal:  Sensors (Basel)       Date:  2017-12-09       Impact factor: 3.576

8.  Digital Analysis of Sit-to-Stand in Masters Athletes, Healthy Old People, and Young Adults Using a Depth Sensor.

Authors:  Daniel Leightley; Moi Hoon Yap
Journal:  Healthcare (Basel)       Date:  2018-03-02

Review 9.  Systematic review of Kinect applications in elderly care and stroke rehabilitation.

Authors:  David Webster; Ozkan Celik
Journal:  J Neuroeng Rehabil       Date:  2014-07-03       Impact factor: 4.262

Review 10.  A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation.

Authors:  Hossein Mousavi Hondori; Maryam Khademi
Journal:  J Med Eng       Date:  2014-12-10
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