A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results
Joint Authors
Rebaudengo, Maurizio
Hemmatpour, Masoud
Ferrero, Renato
Montrucchio, Bartolomeo
Source
Advances in Human-Computer Interaction
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-01
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Injuries due to unintentional falls cause high social cost in which several systems have been developed to reduce them.
Recently, two trends can be recognized.
Firstly, the market is dominated by fall detection systems, which activate an alarm after a fall occurrence, but the focus is moving towards predicting and preventing a fall, as it is the most promising approach to avoid a fall injury.
Secondly, personal devices, such as smartphones, are being exploited for implementing fall systems, because they are commonly carried by the user most of the day.
This paper reviews various fall prediction and prevention systems, with a particular interest to the ones that can rely on the sensors embedded in a smartphone, i.e., accelerometer and gyroscope.
Kinematic features obtained from the data collected from accelerometer and gyroscope have been evaluated in combination with different machine learning algorithms.
An experimental analysis compares the evaluated approaches by evaluating their accuracy and ability to predict and prevent a fall.
Results show that tilt features in combination with a decision tree algorithm present the best performance.
American Psychological Association (APA)
Hemmatpour, Masoud& Ferrero, Renato& Montrucchio, Bartolomeo& Rebaudengo, Maurizio. 2019. A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results. Advances in Human-Computer Interaction،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1118144
Modern Language Association (MLA)
Hemmatpour, Masoud…[et al.]. A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results. Advances in Human-Computer Interaction No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1118144
American Medical Association (AMA)
Hemmatpour, Masoud& Ferrero, Renato& Montrucchio, Bartolomeo& Rebaudengo, Maurizio. A Review on Fall Prediction and Prevention System for Personal Devices: Evaluation and Experimental Results. Advances in Human-Computer Interaction. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1118144
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118144