Literature DB >> 23400165

Upper extremity reachable workspace evaluation with Kinect.

Gregorij Kurillo1, Jay J Han, Stěpán Obdržálek, Posu Yan, Richard T Abresch, Alina Nicorici, Ruzena Bajcsy.   

Abstract

We propose a novel low-cost method for quantitative assessment of upper extremity workspace envelope using Microsoft Kinect camera. In clinical environment there are currently no practical and cost-effective methods available to provide arm-function evaluation in three-dimensional space. In this paper we examine the accuracy of the proposed technique for workspace estimation using Kinect in comparison with a motion capture system. The experimental results show that the developed system is capable of capturing the workspace with sufficient accuracy and robustness.

Mesh:

Year:  2013        PMID: 23400165

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  14 in total

1.  Validity, Reliability, and Sensitivity of a 3D Vision Sensor-based Upper Extremity Reachable Workspace Evaluation in Neuromuscular Diseases.

Authors:  Jay J Han; Gregorij Kurillo; R Ted Abresch; Alina Nicorici; Ruzena Bajcsy
Journal:  PLoS Curr       Date:  2013-12-12

2.  Reachable workspace reflects dynamometer-measured upper extremity strength in facioscapulohumeral muscular dystrophy.

Authors:  Jay J Han; Evan De Bie; Alina Nicorici; Richard T Abresch; Ruzena Bajcsy; Gregorij Kurillo
Journal:  Muscle Nerve       Date:  2015-06-19       Impact factor: 3.217

3.  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

4.  Reachable workspace in facioscapulohumeral muscular dystrophy (FSHD) by Kinect.

Authors:  Jay J Han; Gregorij Kurillo; Richard T Abresch; Evan de Bie; Alina Nicorici; Ruzena Bajcsy
Journal:  Muscle Nerve       Date:  2014-11-19       Impact factor: 3.217

5.  Attentional Demand of a Virtual Reality-Based Reaching Task in Nondisabled Older Adults.

Authors:  Yi-An Chen; Yu-Chen Chung; Rachel Proffitt; Eric Wade; Carolee Winstein
Journal:  J Mot Learn Dev       Date:  2015-12

6.  Reachable workspace and performance of upper limb (PUL) in duchenne muscular dystrophy.

Authors:  Jay J Han; Evan de Bie; Alina Nicorici; Richard T Abresch; Colleen Anthonisen; Ruzena Bajcsy; Gregorij Kurillo; Craig M Mcdonald
Journal:  Muscle Nerve       Date:  2015-12-29       Impact factor: 3.217

7.  Usability study of wearable inertial sensors for exergames (WISE) for movement assessment and exercise.

Authors:  Ashwin Rajkumar; Fabio Vulpi; Satish Reddy Bethi; Preeti Raghavan; Vikram Kapila
Journal:  Mhealth       Date:  2021-01-20

8.  Measurement of Shoulder Range of Motion in Patients with Adhesive Capsulitis Using a Kinect.

Authors:  Seung Hak Lee; Chiyul Yoon; Sun Gun Chung; Hee Chan Kim; Youngbin Kwak; Hee-Won Park; Keewon Kim
Journal:  PLoS One       Date:  2015-06-24       Impact factor: 3.240

9.  Studying Upper-Limb Kinematics Using Inertial Sensors Embedded in Mobile Phones.

Authors:  Cristina Roldan-Jimenez; Antonio Cuesta-Vargas; Paul Bennett
Journal:  JMIR Rehabil Assist Technol       Date:  2015-05-20

10.  Brain activation is related to smoothness of upper limb movements after stroke.

Authors:  Floor E Buma; Joost van Kordelaar; Matthijs Raemaekers; Erwin E H van Wegen; Nick F Ramsey; Gert Kwakkel
Journal:  Exp Brain Res       Date:  2016-03-15       Impact factor: 1.972

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