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<journal-id journal-id-type="publisher">london-journal-of-research-in-computer-science-technology</journal-id>
<journal-title-group>
<journal-title>London Journal of Research in Computer Science &amp; Technology</journal-title>
</journal-title-group>
<issn publication-format="print">2514-863X</issn>
<issn publication-format="electronic">2514-8648</issn>
<publisher><publisher-name>JournalsPress</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">101555</article-id>
<title-group>
<article-title>Survey on Hands Free Mouse using Facial Expression for Physically Disabled People</article-title>
</title-group>
<volume>24</volume>
<issue>1</issue>
<fpage>27</fpage>
<lpage>32</lpage>
<abstract><p>This report explores the development of a Hands-Free Mouse system designed to empower physically disabled individuals through facial expression recognition. In the domain of assistive technology, where the focus is on enhancing accessibility, we delve into the novel application of facial expression recognition techniques. Commonly employed techniques in this domain include computer vision and machine learning algorithms, with diverse approaches such as deep neural networks and feature-based methods.</p></abstract>
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<title>Full Text</title>
<p>This report explores the development of a Hands-Free Mouse system designed to empower physically disabled individuals through facial expression recognition. In the domain of assistive technology, where the focus is on enhancing accessibility, we delve into the novel application of facial expression recognition techniques. Commonly employed techniques in this domain include computer vision and machine learning algorithms, with diverse approaches such as deep neural networks and feature-based methods.</p>
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