Literature DB >> 21328164

Development of finger-motion capturing device based on optical linear encoder.

Kang Li1, I-Ming Chen, Song Huat Yeo, Chee Kian Lim.   

Abstract

This article presents the design and validation of a wearable glove-based multifinger-motion capture device (SmartGlove), specifically focusing on the development of a new optical linear encoder (OLE). The OLE specially designed for this project is compact and lightweight and has low-power consumption. The characterization tests showed that the OLE's digital out put has good linearity and is accurate. The first prototype of SmartGlove, which uses 10 OLEs to capture the flexion/extension motion of the 14 finger joints, was constructed based on the multipoint-sensing method. A user study evaluated the SmartGlove using a standard protocol and found high repeatability and reliability in both the gripped and flat-hand positions compared with four other evaluated data gloves using the same protocol.

Mesh:

Year:  2011        PMID: 21328164     DOI: 10.1682/jrrd.2010.02.0013

Source DB:  PubMed          Journal:  J Rehabil Res Dev        ISSN: 0748-7711


  8 in total

1.  Viability of Hand and Wrist Photogoniometry.

Authors:  Clifton G Meals; Rebecca J Saunders; Sameer Desale; Kenneth R Means
Journal:  Hand (N Y)       Date:  2017-04-09

2.  An Instrumented Glove to Assess Manual Dexterity in Simulation-Based Neurosurgical Education.

Authors:  Juan Diego Lemos; Alher Mauricio Hernandez; Georges Soto-Romero
Journal:  Sensors (Basel)       Date:  2017-04-29       Impact factor: 3.576

3.  A Two-Axis Goniometric Sensor for Tracking Finger Motion.

Authors:  Lefan Wang; Turgut Meydan; Paul Ieuan Williams
Journal:  Sensors (Basel)       Date:  2017-04-05       Impact factor: 3.576

4.  A Three-dimensional Finger Motion Measurement System of a Thumb and an Index Finger Without a Calibration Process.

Authors:  Yeongyu Park; Joonbum Bae
Journal:  Sensors (Basel)       Date:  2020-01-30       Impact factor: 3.576

5.  Reliability of the standard goniometry and diagrammatic recording of finger joint angles: a comparative study with healthy subjects and non-professional raters.

Authors:  Valdas Macionis
Journal:  BMC Musculoskelet Disord       Date:  2013-01-09       Impact factor: 2.362

6.  A Novel Setup and Protocol to Measure the Range of Motion of the Wrist and the Hand.

Authors:  Kostas Nizamis; Noortje H M Rijken; Ana Mendes; Mariska M H P Janssen; Arjen Bergsma; Bart F J M Koopman
Journal:  Sensors (Basel)       Date:  2018-09-25       Impact factor: 3.576

7.  Development of a Wearable Glove System with Multiple Sensors for Hand Kinematics Assessment.

Authors:  Fei Fei; Sifan Xian; Xiaojian Xie; Changcheng Wu; Dehua Yang; Kuiying Yin; Guanglie Zhang
Journal:  Micromachines (Basel)       Date:  2021-03-27       Impact factor: 2.891

8.  Improving Data Glove Accuracy and Usability Using a Neural Network When Measuring Finger Joint Range of Motion.

Authors:  James Connolly; Joan Condell; Kevin Curran; Philip Gardiner
Journal:  Sensors (Basel)       Date:  2022-03-14       Impact factor: 3.576

  8 in total

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