A Fall Detection Algorithm for Thigh mounted Smartphones using Random Forest and Feature Selection Techniques

Falls are sudden incidents that cause the body to go down onto the ground or toward the ground without intention or by accident. Falls can result in physical injuries and mental distress, especially in the elderly. Such results can cause serious disabilities and in the worst cases even death. Conseq...

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Veröffentlicht in:	2022 17th International Conference on Emerging Technologies (ICET) S. 48 - 53
Hauptverfasser:	Maryam, Rida, Shahzad, Ahsan, Bashir, Mariam, Caceres-Najarro, Lismer Andres, Kim, Minseok
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 29.11.2022
Schlagworte:	Classification algorithms Entropy Fall detection Fall detection algorithm Feature extraction features selection random forest Simulation smartphones Thigh Transfer learning
Online-Zugang:	Volltext
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