A comprehensive comparison of accuracy and practicality of different types of algorithms for pre-impact fall detection using both young and old adults
- 1 September 2022
- journal article
- research article
- Published by Elsevier BV in Measurement
Abstract
No abstract availableKeywords
This publication has 58 references indexed in Scilit:
- Analysis of Movement, Orientation and Rotation-Based Sensing for Phone Placement RecognitionSensors, 2015
- Center-of-pressure based postural sway measures: Reliability and ability to distinguish between age, fear of falling and fall historyInternational Journal of Industrial Ergonomics, 2015
- Inertial Sensing-Based Pre-Impact Detection of Falls Involving Near-Fall ScenariosIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2014
- Development and Evaluation of a Prior-to-Impact Fall Event Detection AlgorithmIEEE Transactions on Biomedical Engineering, 2014
- Challenges, issues and trends in fall detection systemsBioMedical Engineering OnLine, 2013
- A smartphone-based fall detection systemPervasive and Mobile Computing, 2012
- Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjectsGait & Posture, 2012
- Comparison of acceleration signals of simulated and real-world backward fallsMedical Engineering & Physics, 2011
- Evaluation of waist-mounted tri-axial accelerometer based fall-detection algorithms during scripted and continuous unscripted activitiesJournal of Biomechanics, 2010
- Predicting good probabilities with supervised learningPublished by Association for Computing Machinery (ACM) ,2005