Literature DB >> 24187203

Using the Kinect to limit abnormal kinematics and compensation strategies during therapy with end effector robots.

Elizabeth B Brokaw, Peter S Lum, Rory A Cooper, Bambi R Brewer.   

Abstract

Abnormal kinematics and the use of compensation strategies during training limit functional improvement from therapy. The Kinect is a low cost ($100) sensor that does not require any markers to be placed on the user. Integration of this sensor into currently used therapy systems can provide feedback about the user's movement quality, and the use of compensatory strategies to complete tasks. This paper presents a novel technique of adding the Kinect to an end effector robot to limit compensation strategies and to train normal joint coordination during movements with an end effector robot. This methodology has wider implications for other robotic and passively actuated end effector rehabilitation devices.

Mesh:

Year:  2013        PMID: 24187203     DOI: 10.1109/ICORR.2013.6650384

Source DB:  PubMed          Journal:  IEEE Int Conf Rehabil Robot        ISSN: 1945-7898


  6 in total

1.  Smart Web-Based Platform to Support Physical Rehabilitation.

Authors:  Yves Rybarczyk; Jan Kleine Deters; Clément Cointe; Danilo Esparza
Journal:  Sensors (Basel)       Date:  2018-04-26       Impact factor: 3.576

2.  Inertial-Robotic Motion Tracking in End-Effector-Based Rehabilitation Robots.

Authors:  Arne Passon; Thomas Schauer; Thomas Seel
Journal:  Front Robot AI       Date:  2020-11-27

3.  Data-Driven Classification of Human Movements in Virtual Reality-Based Serious Games: Preclinical Rehabilitation Study in Citizen Science.

Authors:  Roni Barak Ventura; Kora Stewart Hughes; Oded Nov; Preeti Raghavan; Manuel Ruiz Marín; Maurizio Porfiri
Journal:  JMIR Serious Games       Date:  2022-02-10       Impact factor: 4.143

4.  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

Review 5.  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

6.  An sEMG-Controlled 3D Game for Rehabilitation Therapies: Real-Time Time Hand Gesture Recognition Using Deep Learning Techniques.

Authors:  Nadia Nasri; Sergio Orts-Escolano; Miguel Cazorla
Journal:  Sensors (Basel)       Date:  2020-11-12       Impact factor: 3.576

  6 in total

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