Literature DB >> 26737825

Gait assessment using the Kinect RGB-D sensor.

Jingbo Zhao, Frank E Bunn, Jacob M Perron, Edward Shen, Robert S Allison.   

Abstract

Patients with concussions, strokes and neuromuscular disease such as Parkinson's disease, often have difficulties in keeping balance and suffer from abnormal gaits. Gait assessment conducted by a physician or therapist in clinics is standard clinical practice for assessing such injuries. However, this approach is subjective, leading to potential problems of unrepeatability, poor sensitivity and unreliability. To conduct the assessment in an objective way, a computer-based gait assessment system is designed and presented in this paper. The system performs assessments on dynamic balance and gaits by analyzing the skeleton frames of a subject captured by the Microsoft Kinect RGB-D sensor. Results show that the proposed system effectively scores subjects.

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Year:  2015        PMID: 26737825     DOI: 10.1109/EMBC.2015.7319925

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


  5 in total

1.  Development and validation of a sensor- and expert model-based training system for laparoscopic surgery: the iSurgeon.

Authors:  Karl-Friedrich Kowalewski; Jonathan D Hendrie; Mona W Schmidt; Carly R Garrow; Thomas Bruckner; Tanja Proctor; Sai Paul; Davud Adigüzel; Sebastian Bodenstedt; Andreas Erben; Hannes Kenngott; Young Erben; Stefanie Speidel; Beat P Müller-Stich; Felix Nickel
Journal:  Surg Endosc       Date:  2016-09-07       Impact factor: 4.584

2.  Development of a Smart Hallway for Marker-Less Human Foot Tracking and Stride Analysis.

Authors:  Vinod Gutta; Pascal Fallavollita; Natalie Baddour; Edward D Lemaire
Journal:  IEEE J Transl Eng Health Med       Date:  2021-03-29       Impact factor: 3.316

3.  Recent advances in rehabilitation for Parkinson's Disease with Exergames: A Systematic Review.

Authors:  Augusto Garcia-Agundez; Ann-Kristin Folkerts; Robert Konrad; Polona Caserman; Thomas Tregel; Mareike Goosses; Stefan Göbel; Elke Kalbe
Journal:  J Neuroeng Rehabil       Date:  2019-01-29       Impact factor: 4.262

4.  Age Matters: Objective Gait Assessment in Early Parkinson's Disease Using an RGB-D Camera.

Authors:  Beatriz Muñoz Ospina; Jaime Andrés Valderrama Chaparro; Juan David Arango Paredes; Yor Jaggy Castaño Pino; Andrés Navarro; Jorge Luis Orozco
Journal:  Parkinsons Dis       Date:  2019-06-13

5.  A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson's Disease.

Authors:  Domenico Buongiorno; Ilaria Bortone; Giacomo Donato Cascarano; Gianpaolo Francesco Trotta; Antonio Brunetti; Vitoantonio Bevilacqua
Journal:  BMC Med Inform Decis Mak       Date:  2019-12-12       Impact factor: 2.796

  5 in total

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