October 13, 2025Open Access

Fall Detection from Indoor Videos using MediaPipe and Handcrafted Feature

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Proposed fall detection method using MediaPipe achieves high accuracy in diverse indoor environments.

The proposed model accurately detects falls with high accuracy across varied settings, improving safety.
Results indicate significant accuracy improvements compared to traditional methods for detecting falls.
Evaluation was conducted on the UR Fall detection dataset, demonstrating capability across ages and genders.
Methodology involves utilizing MediaPipe to create a human body skeleton for effective fall classification.

Ahmed et al. (2025) studied this question.

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