Real-Time Fall Detection for the Elderly in Home Settings Using a Vision-Based YOLOv8-Pose Model.

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Title: Real-Time Fall Detection for the Elderly in Home Settings Using a Vision-Based YOLOv8-Pose Model.
Authors: Riyadh Khawam, Qaseem1, qassem.r.khawam00429@st.tu.edu.iq, Al-Hashimi, Muhaned2, muhaned@tu.edu.iq, Khalid Abdulateef, Salwa1, khalid.salwa@tu.edu.iq
Source: Journal of Qadisiyah Computer Science & Mathematics; 2025, Vol. 17 Issue 3, p1-10, 10p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Qadisiyah+Computer+Science+%26+Mathematics%22">Journal of Qadisiyah Computer Science & Mathematics</searchLink>; 2025, Vol. 17 Issue 3, p1-10, 10p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.29304/jqcsm.2025.17.32425
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: Real-Time Fall Detection for the Elderly in Home Settings Using a Vision-Based YOLOv8-Pose Model.
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            NameFull: Riyadh Khawam, Qaseem
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            NameFull: Al-Hashimi, Muhaned
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            NameFull: Khalid Abdulateef, Salwa
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              Text: 2025
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              Y: 2025
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              Value: 17
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