Full metadata record
DC FieldValueLanguage
dc.contributorDepartment of Computingen_US
dc.contributor.advisorCao, Jiannong (COMP)-
dc.creatorHou, Zhipeng-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/8181-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleSitting posture-based wheelchair control, empowering the disabled people to use the wheelchairen_US
dcterms.abstractThe objective of this work is to design and implement a sitting posture recognition system for the disabled using pressure sensors. Sitting posture recognition enriches the power of the disabled by allowing them to use their postures to control the ambient devices such as wheelchair, TV, etc. However, current solutions to sitting posture recognition are designed without considering the inconvenience and need of the disabled. Thus, we aim to develop sitting posture recognition techniques that are tailored to the disabled. In particular, we first classify the disabled or injured people by the movement capability and age, and then we design different methods for people in different categories accordingly. The sitting posture recognition model is constructed using the machine learning techniques upon the collected pressure sensor data. The experiment result shows that the proposed method can achieve high accuracy for different categories of the disabled people.en_US
dcterms.extentvii, 44 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2015en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.LCSHWheelchairs -- Design and construction.en_US
dcterms.LCSHWheelchairs -- Physiological aspects.en_US
dcterms.LCSHSitting position.en_US
dcterms.LCSHPressure -- Measurement.en_US
dcterms.accessRightsrestricted accessen_US

Files in This Item:
File Description SizeFormat 
b28252007.pdfFor All Users (off-campus access for PolyU Staff & Students only)611.71 kBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show simple item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/8181