PIFR: A novel approach for analyzing pose angle-based human activity to automate fall detection in videos

• Vungsovanreach Kong,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Resources, Software, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Big Data Department, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, South Korea

  https://orcid.org/0000-0003-2222-4112

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• Saravit Soeng,

  Roles Conceptualization, Formal analysis, Methodology, Software, Writing – original draft

  Affiliation Big Data Department, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, South Korea

  https://orcid.org/0000-0001-5704-8820

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• Munirot Thon,

  Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Visualization, Writing – original draft

  Affiliation Big Data Department, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, South Korea

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• Wan-Sup Cho,

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Writing – original draft

  Affiliation Department of Management Information Systems, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, South Korea

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• Anand Nayyar,

  Roles Formal analysis, Investigation, Project administration, Supervision, Validation, Writing – review & editing

  Affiliation School of Computer Science, Duy Tan University, Da Nang, Vietnam

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• Tae-Kyung Kim

  Roles Conceptualization, Funding acquisition, Investigation, Project administration, Validation, Writing – original draft, Writing – review & editing

  * E-mail: kimtk@chungbuk.ac.kr

  Affiliation Department of Management Information Systems, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, South Korea

  https://orcid.org/0000-0001-9962-1066

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