Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults
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Title
Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults
Authors
Keywords
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Journal
SENSORS
Volume 19, Issue 6, Pages 1357
Publisher
MDPI AG
Online
2019-03-19
DOI
10.3390/s19061357
References
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Related references
Note: Only part of the references are listed.- Type and Location of Wearable Sensors for Monitoring Falls during Static and Dynamic Tasks in Healthy Elderly: A Review
- (2018) Rosaria Rucco et al. SENSORS
- Methods for the Real-World Evaluation of Fall Detection Technology: A Scoping Review
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- (2017) Shehroz S. Khan et al. MEDICAL ENGINEERING & PHYSICS
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- Fall detection monitoring systems: a comprehensive review
- (2017) Pranesh Vallabh et al. Journal of Ambient Intelligence and Humanized Computing
- Multiple comparator classifier framework for accelerometer-based fall detection and diagnostic
- (2016) Ryan M. Gibson et al. APPLIED SOFT COMPUTING
- Evaluation of an Automated Falls Detection Device in Nursing Home Residents
- (2016) Lewis A. Lipsitz et al. JOURNAL OF THE AMERICAN GERIATRICS SOCIETY
- Involvement of the end user: exploration of older people's needs and preferences for a wearable fall detection device – a qualitative descriptive study
- (2016) Friederike Thilo et al. Patient Preference and Adherence
- Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
- (2015) Maarit Kangas et al. GERONTOLOGY
- An Event Polarized Paradigm for ADL Detection in AAL Context
- (2015) Bruno Ando et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Inertial Sensing-Based Pre-Impact Detection of Falls Involving Near-Fall Scenarios
- (2015) Jung Keun Lee et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Modeling of nonlinear system based on deep learning framework
- (2015) Xiangjun Jin et al. NONLINEAR DYNAMICS
- Fall detection based on the gravity vector using a wide-angle camera
- (2014) Marc Bosch-Jorge et al. EXPERT SYSTEMS WITH APPLICATIONS
- Epidemiology of Emergency Medical Service Responses to Older People Who Have Fallen: A Prospective Cohort Study
- (2014) Paul M. Simpson et al. Prehospital Emergency Care
- Comparison and Characterization of Android-Based Fall Detection Systems
- (2014) Rafael Luque et al. SENSORS
- Detecting Falls with Wearable Sensors Using Machine Learning Techniques
- (2014) Ahmet Özdemir et al. SENSORS
- Fall Detection Devices and Their Use With Older Adults
- (2014) Shomir Chaudhuri et al. Journal of Geriatric Physical Therapy
- Fall detection with body-worn sensors
- (2013) L. Schwickert et al. ZEITSCHRIFT FUR GERONTOLOGIE UND GERIATRIE
- Personalization and Adaptation to the Medium and Context in a Fall Detection System
- (2012) D. Naranjo-Hernandez et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- Evaluation of Accelerometer-Based Fall Detection Algorithms on Real-World Falls
- (2012) Fabio Bagalà et al. PLoS One
- Fall Classification by Machine Learning Using Mobile Phones
- (2012) Mark V. Albert et al. PLoS One
- Comparison of real-life accidental falls in older people with experimental falls in middle-aged test subjects
- (2011) M. Kangas et al. GAIT & POSTURE
- Comparison of acceleration signals of simulated and real-world backward falls
- (2010) J. Klenk et al. MEDICAL ENGINEERING & PHYSICS
- A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor
- (2007) A.K. Bourke et al. MEDICAL ENGINEERING & PHYSICS
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