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This review aims to examine fall detection systems, focusing on advancements, challenges, and future research directions.

May 29, 2026Journal of SensorsOpen Access

A Systematic Review on Sensor and Machine Learning Approaches in Fall Detection: Advancements, Challenges, and Future Directions

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This review aims to examine fall detection systems, focusing on advancements, challenges, and future research directions.
Conducted a systematic review of recent literature on fall detection.
Analyzed various sensor technologies and machine learning algorithms used in fall detection.
Discussed data collection mechanisms and feature extraction methods.
No significant effect was observed in choosing multiple sensors over a single sensor.
Identified key challenges in accuracy and usability of current fall detection systems.
Provided recommendations for future research and advancements in fall detection technologies.

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Systematic review highlights advancements in fall detection technologies and identifies key challenges and future directions.

Sediela et al. (2026) studied this question.

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