Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left" rowspan="3">Inclusion criteria</td><td class="align_center">The searched string appeared in the title, abstract, or keywords of the study</td></tr><tr><td class="align_center">The publication is written only in the English language</td></tr><tr><td class="align_center">Studies in journals, conferences, and book chapters from 2012 to July 2023</td></tr><tr><td class="align_left" colspan="2"><hr/></td></tr><tr><td class="align_left" rowspan="2">Exclusion criteria</td><td class="align_center">Blogs, keynotes, and weak reference studies, such as Wikipedia, dictionaries, and thesaurus</td></tr><tr><td class="align_center">Duplicate studies, i.e., studies published in more than one publisher’s database</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Inclusion and exclusion criteria.</div>

Advances in Human-Computer Interaction

tab2

Table 2

Table 2: Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches 