Personalized Fall Detection Monitoring System Based on Learning from the User Movements,ERICDATA高等教育知識庫
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篇名
Personalized Fall Detection Monitoring System Based on Learning from the User Movements
並列篇名
Personalized Fall Detection Monitoring System Based on Learning from the User Movements
作者 Pranesh VallabhNazanin MalekianReza MalekianTing-Mei Li
英文摘要
Personalized fall detection system is shown to provide added and more benefits compare to the current fall detection system. The personalized model can also be applied to anything where one class of data is hard to gather. The results show that adapting to the user needs, improve the overall accuracy of the system. Future work includes detection of the smartphone on the user so that the user can place the system anywhere on the body and make sure it detects. Even though the accuracy is not 100% the proof of concept of personalization can be used to achieve greater accuracy. The concept of personalization used in this paper can also be extended to other research in the medical field or where data is hard to come by for a particular class. More research into the feature extraction and feature selection module should be investigated. For the feature selection module, more research into selecting features based on one class data.
起訖頁 131-141
關鍵詞 Fall detectionPersonalized modelMachine LearningSmartphone
刊名 網際網路技術學刊  
期數 202101 (22:1期)
出版單位 台灣學術網路管理委員會
DOI 10.3966/160792642021012201013   複製DOI
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