Fall Detection on Mobile Phones Using Features from a Five-Phase Model
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/6331798/6331954/06332111.pdf?arnumber=6332111
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1. Recall-Driven Precision Refinement: Unveiling Accurate Fall Detection Using LSTM;Internet of Things. Advances in Information and Communication Technology;2023-10-26
2. Fall detection using accelerometer-based smartphones: Where do we go from here?;Frontiers in Public Health;2022-10-17
3. Human fall detection and activity monitoring: a comparative analysis of vision-based methods for classification and detection techniques;Soft Computing;2022-03-02
4. Artificial Intelligence Based Body Sensor Network Framework—Narrative Review: Proposing an End-to-End Framework using Wearable Sensors, Real-Time Location Systems and Artificial Intelligence/Machine Learning Algorithms for Data Collection, Data Mining and Knowledge Discovery in Sports and Healthcare;Sports Medicine - Open;2021-10-30
5. Reducing Falls in Dementia Inpatients Using Vision-Based Technology;Journal of Patient Safety;2021-08-02
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