FallVision: A benchmark video dataset for fall detectionDataverse

FallVision: A benchmark video dataset for fall detectionDataverse

This article presents a comprehensive video dataset curated specifically for fall detection research, comprising categorized fall and no-fall videos. The dataset encompasses three primary categories of falls: falls from a bed, chair, and standing position. Initially collected as raw footage, these v...

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Bibliographic Details
Main Authors: Nakiba Nuren Rahman, Abu Bakar Siddique Mahi, Durjoy Mistry, Shah Murtaza Rashid Al Masud, Aloke Kumar Saha, Rashik Rahman, Md. Rajibul Islam
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Data in Brief
Subjects:
Fall detection
Video analysis
Fall classification
Human fall
Machine learning
Computer vision
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340925001726

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http://www.sciencedirect.com/science/article/pii/S2352340925001726

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