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  <titleInfo>
    <title>3D printed prosthetic hand with  grasping and slippage detection for  children</title>
  </titleInfo>
  <name type="personal">
    <namePart>Devin Babu</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <copyrightDate encoding="marc">2024</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>xiv, 88 pages : illustration ; 30 cm. + 1-CD ROM</extent>
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  <abstract>This study focuses on the creation and assessment of a children-specific  functioning 1 Degree of Freedom (DOF) 3D-printed prosthetic hand. For people with  upper limb problems, prosthetic hands are essential for aiding daily activities. However,  a lot of current prosthetic hands are unable to change grasping force independently of  visual input. This research addresses three primary objectives. Firstly, it aims to create a  functional prosthetic hand-tailored for pediatric users. Secondly, it seeks to assess the  prosthetic hand's grasping force across various objects. Finally, the research endeavours  to implement strategies to reduce slippage by regulating grasping force. Three distinct objects—a 54g puzzle piece, a 107g miniature book, and a 3g  plastic ball—were used in the experiment. The findings showed that object attributes had  a substantial impact on considerable variations in force application. Due to the material  properties of plastic, wooden things required less force than they did. Furthermore,  manipulating things with irregular shapes requires more effort. Precision grasps were  outperformed in terms of force application by power grasps that offered full contact.  Consistently, cylindrical objects showed lower forces, indicating ergonomic difficulties  with holding non-uniform shapes. These insights are essential for developing tools and  interfaces that are user-interactive and usable, particularly in the creation of robotics and  ergonomic equipment. The study also projects how prosthetic technology will evolve in the future. Individual  motorized fingers with many degrees of articulation are implemented as well as cuttingedge sensing technologies like muscle or brain sensors. To evaluate the strength of the  prosthetic hand, the research aims to investigate a wide variety of 3D printing materials.  Incorporating a complete glove force sensor will also make it possible to measure  opposing forces precisely while performing gripping and lifting duties. Our  comprehension of material-specific gripping dynamics and slippage tendencies will be  further improved by a thorough examination of numerous objects made of different  materials. The goal of this research is to dramatically increase the usability and  adaptability of prosthetic systems.</abstract>
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  <note type="statement of responsibility">Devin Babu</note>
  <note>Faculty of Electrical &amp; Electronics Engineering Technology</note>
  <note>Thesis (Master of Science) -- Universiti Malaysia Pahang – 2024</note>
  <note>Includes bibliographical references</note>
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    <name type="corporate">
      <namePart>Faculty of Electrical &amp; Electronics Engineering Technology</namePart>
    </name>
    <topic>Dissertations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Universities and colleges</topic>
    <topic>Dissertations</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Theses</topic>
    <topic>Dissertations</topic>
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  <identifier type="isbn">THE0009906 (Local)</identifier>
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    <recordCreationDate encoding="marc">240819</recordCreationDate>
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