Smartglove : a multi-finger sensing system based on optical linear encoder

Objective measures of human hands as individuals participate in everyday activities are needed in order to expand the dexterous use of the hand or to evaluate the hand functions in rehabilitation or skill training. Data gloves for measurements of finger movements are a promising tool for this purpos...

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Main Author: Li, Kang
Other Authors: Yeo Song Huat
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:https://hdl.handle.net/10356/19317
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-193172023-03-11T17:45:28Z Smartglove : a multi-finger sensing system based on optical linear encoder Li, Kang Yeo Song Huat Chen I-Ming School of Mechanical and Aerospace Engineering Robotics Research Centre DRNTU::Engineering::Mechanical engineering::Bio-mechatronics Objective measures of human hands as individuals participate in everyday activities are needed in order to expand the dexterous use of the hand or to evaluate the hand functions in rehabilitation or skill training. Data gloves for measurements of finger movements are a promising tool for this purpose. The requirements for the data glove include easy and comfortable to wear and remove, durability, cost-effectiveness and measurement repeatability and reliability. This thesis presents the design of a wearable glove-based multi-finger motion capture device (SmartGlove) with a specific focus on the development of a new optical linear encoder (OLE) with novel sensing technology. Modelling of the full hand kinematics and constraints are introduced, working principles of the OLE and the multi-point sensing method are illustrated. The OLE development and the SmartGlove construction are also presented. The OLE specially designed for this project has a compact size, light weight and low power consumption. The characterization tests also show that the OLE’s digital output has good linearity and accuracy. The first prototype of SmartGlove which uses ten OLEs to capture the flexion/extension motion of the 14 finger joints is constructed based on the multi-point sensing method. A case study for the evaluation of SmartGlove using a standard protocol shows high repeatability and reliability in both the gripped and flat hand positions compared with another four evaluated data gloves using the same protocol. Conclusively, measuring outcomes in a portable manner can provide important information for the utilization and evaluation of the hand’s motion data. Results demonstrated that SmartGlove is an important improvement in this direction as both a research and an evaluation tool for widespread use of hand motion capture. MASTER OF ENGINEERING (MAE) 2009-12-04T07:52:37Z 2009-12-04T07:52:37Z 2009 2009 Thesis Li, K. (2009). Smartglove : a multi-finger sensing system based on optical linear encoder. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/19317 10.32657/10356/19317 en 128 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Bio-mechatronics
spellingShingle DRNTU::Engineering::Mechanical engineering::Bio-mechatronics
Li, Kang
Smartglove : a multi-finger sensing system based on optical linear encoder
description Objective measures of human hands as individuals participate in everyday activities are needed in order to expand the dexterous use of the hand or to evaluate the hand functions in rehabilitation or skill training. Data gloves for measurements of finger movements are a promising tool for this purpose. The requirements for the data glove include easy and comfortable to wear and remove, durability, cost-effectiveness and measurement repeatability and reliability. This thesis presents the design of a wearable glove-based multi-finger motion capture device (SmartGlove) with a specific focus on the development of a new optical linear encoder (OLE) with novel sensing technology. Modelling of the full hand kinematics and constraints are introduced, working principles of the OLE and the multi-point sensing method are illustrated. The OLE development and the SmartGlove construction are also presented. The OLE specially designed for this project has a compact size, light weight and low power consumption. The characterization tests also show that the OLE’s digital output has good linearity and accuracy. The first prototype of SmartGlove which uses ten OLEs to capture the flexion/extension motion of the 14 finger joints is constructed based on the multi-point sensing method. A case study for the evaluation of SmartGlove using a standard protocol shows high repeatability and reliability in both the gripped and flat hand positions compared with another four evaluated data gloves using the same protocol. Conclusively, measuring outcomes in a portable manner can provide important information for the utilization and evaluation of the hand’s motion data. Results demonstrated that SmartGlove is an important improvement in this direction as both a research and an evaluation tool for widespread use of hand motion capture.
author2 Yeo Song Huat
author_facet Yeo Song Huat
Li, Kang
format Theses and Dissertations
author Li, Kang
author_sort Li, Kang
title Smartglove : a multi-finger sensing system based on optical linear encoder
title_short Smartglove : a multi-finger sensing system based on optical linear encoder
title_full Smartglove : a multi-finger sensing system based on optical linear encoder
title_fullStr Smartglove : a multi-finger sensing system based on optical linear encoder
title_full_unstemmed Smartglove : a multi-finger sensing system based on optical linear encoder
title_sort smartglove : a multi-finger sensing system based on optical linear encoder
publishDate 2009
url https://hdl.handle.net/10356/19317
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