Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding

Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding

Accurate measurement of hand forces in motorbike riding is highly desirable for studies of safe riding. In this paper, we implement a force-sensing glove system for measuring real-time hand forces during motorbike riding with the aim of giving feedback to the riders. It consists of a pair of gloves...

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Main Authors: Qiang Ye, MirHojjat Seyedi, Zibo Cai, Daniel T. H. Lai
Format: Article
Language:English
Published: SAGE Publishing 2015-11-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/545643
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spelling doaj-f11df1d10b6341f69e6b995bd26189bb2020-11-25T03:10:04ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-11-011110.1155/2015/545643545643Force-Sensing Glove System for Measurement of Hand Forces during Motorbike RidingQiang Ye0MirHojjat Seyedi1Zibo Cai2Daniel T. H. Lai3 Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui 230031, China College of Science and Engineering, Victoria University, Melbourne, VIC 3011, Australia College of Science and Engineering, Victoria University, Melbourne, VIC 3011, Australia College of Science and Engineering, Victoria University, Melbourne, VIC 3011, AustraliaAccurate measurement of hand forces in motorbike riding is highly desirable for studies of safe riding. In this paper, we implement a force-sensing glove system for measuring real-time hand forces during motorbike riding with the aim of giving feedback to the riders. It consists of a pair of gloves with tactile sensors suitably mounted and configured for data acquisition via a wireless smartphone. A novel calibration method is developed for dynamic calibration considering force measurement in natural operation and environments. Consequently, a series of data classification algorithms ensure accurate hand performance feedbacks for motorbike riders. The feedback data could potentially alert the riders to predict and prevent accidents. Validation tests demonstrate that this force-sensing glove system has a strong potential as a tool for hand performance monitoring in real environment.https://doi.org/10.1155/2015/545643
collection DOAJ
language English
format Article
sources DOAJ
author Qiang Ye
MirHojjat Seyedi
Zibo Cai
Daniel T. H. Lai
spellingShingle Qiang Ye
MirHojjat Seyedi
Zibo Cai
Daniel T. H. Lai
Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding
International Journal of Distributed Sensor Networks
author_facet Qiang Ye
MirHojjat Seyedi
Zibo Cai
Daniel T. H. Lai
author_sort Qiang Ye
title Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding
title_short Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding
title_full Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding
title_fullStr Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding
title_full_unstemmed Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding
title_sort force-sensing glove system for measurement of hand forces during motorbike riding
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2015-11-01
description Accurate measurement of hand forces in motorbike riding is highly desirable for studies of safe riding. In this paper, we implement a force-sensing glove system for measuring real-time hand forces during motorbike riding with the aim of giving feedback to the riders. It consists of a pair of gloves with tactile sensors suitably mounted and configured for data acquisition via a wireless smartphone. A novel calibration method is developed for dynamic calibration considering force measurement in natural operation and environments. Consequently, a series of data classification algorithms ensure accurate hand performance feedbacks for motorbike riders. The feedback data could potentially alert the riders to predict and prevent accidents. Validation tests demonstrate that this force-sensing glove system has a strong potential as a tool for hand performance monitoring in real environment.
url https://doi.org/10.1155/2015/545643
work_keys_str_mv AT qiangye forcesensingglovesystemformeasurementofhandforcesduringmotorbikeriding
AT mirhojjatseyedi forcesensingglovesystemformeasurementofhandforcesduringmotorbikeriding
AT zibocai forcesensingglovesystemformeasurementofhandforcesduringmotorbikeriding
AT danielthlai forcesensingglovesystemformeasurementofhandforcesduringmotorbikeriding
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