about
Analysis of Android Device-Based Solutions for Fall DetectionChallenges, issues and trends in fall detection systemsAutomatic Fall Detection System Based on the Combined Use of a Smartphone and a Smartwatch.Novel Hierarchical Fall Detection Algorithm Using a Multiphase Fall Model.Fall detection devices and their use with older adults: a systematic review.Automatic fall monitoring: a reviewDetecting falls with wearable sensors using machine learning techniques.Smartphone-based solutions for fall detection and prevention: challenges and open issuesA ZigBee-based location-aware fall detection system for improving elderly telecare.Detecting falls as novelties in acceleration patterns acquired with smartphonesReal-time human ambulation, activity, and physiological monitoring: taxonomy of issues, techniques, applications, challenges and limitations.Evaluation of accelerometer-based fall detection algorithms on real-world falls.A configurable sensor network applied to ambient assisted livingVideo capture of the circumstances of falls in elderly people residing in long-term care: an observational study.Validity of a Smartphone-Based Fall Detection Application on Different Phones Worn on a Belt or in a Trouser Pocket.An Energy-Efficient Multi-Tier Architecture for Fall Detection Using Smartphones.Improved Dynamic Postural Task Performance without Improvements in Postural Responses: The Blessing and the Curse of Dopamine ReplacementRobust Indoor Human Activity Recognition Using Wireless Signals.An Analysis on Sensor Locations of the Human Body for Wearable Fall Detection Devices: Principles and Practice.Detection of human impacts by an adaptive energy-based anisotropic algorithm.SisFall: A Fall and Movement Dataset.Older Adults' Experience with a Novel Fall Detection Device.Use of local intelligence to reduce energy consumption of wireless sensor nodes in elderly health monitoring systems.Classifying human leg motions with uniaxial piezoelectric gyroscopesA Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic FeaturesA fall and near-fall assessment and evaluation system.A Radar-Based Smart Sensor for Unobtrusive Elderly Monitoring in Ambient Assisted Living Applications.HDOMO: Smart Sensor Integration for an Active and Independent Longevity of the Elderly.An Event-Triggered Machine Learning Approach for Accelerometer-Based Fall Detection.Real-Life/Real-Time Elderly Fall Detection with a Triaxial Accelerometer.
P2860
Q26799337-8C580C81-8FD3-4446-9446-1DF688AFE6EFQ26862767-393D5916-89AD-41DF-9CFE-B87117A4EFE7Q28607565-6DA9385F-8334-45D9-955F-24609900DA86Q30361008-D8AA2A12-4455-4F0A-B795-FF1BC12EA41EQ30401981-96C4FD60-D7D3-4C95-B737-405BA7DB9A75Q30430642-F872C9C4-677F-4FF9-BEB6-B1944E270B51Q30433948-D868386A-069B-4BF1-B764-3249AD4AD10CQ30438158-215FF095-A67C-460C-8705-EB4E8DFA0469Q30438345-3A34D49B-97B3-43D7-A160-C92B429E22C3Q30439912-2F10948F-6663-4740-B8AC-5EAA60F552C3Q30446031-1BE61DF9-AE8E-4C47-A794-E36F72F570AEQ30467456-FA4EBBF5-FBEF-4B2E-A69B-EC8F60C4F4F2Q30470489-3BB33FDD-8D9F-4D8F-B001-C8DDE41647E7Q30531777-4B889050-3660-486C-BA8F-0C68EE75EB25Q33444100-0D6A23E1-2AD0-41BB-8074-4403A7CA0885Q33455211-76287899-909F-455A-834F-B69E6178C55AQ35608980-D25FDE96-3154-4296-85A3-E80AB35F5685Q35972074-9658FCF5-008B-4768-AF9D-A5606F8D718CQ37244685-D7594B3A-0658-4BB4-BDBA-CB03A8A5E900Q37295830-1418384E-6441-485C-BE1F-E3FB1E668699Q37632723-AB057749-DE80-4969-8752-1A3525D3ABEBQ38897574-339CE753-EB98-4DB3-AA30-F4E3B34D41D7Q39039921-CE7E9AAB-B103-4744-844A-55D1DB03E196Q40480629-4C6FDE65-7444-49F3-A215-7CC9FB81719FQ42118103-1B0215A4-11D9-4BAE-846B-E81FC48A3C4BQ42629961-D3854677-CBED-41CF-876E-06B2E8C540D8Q47104598-7F267012-FC8E-43D7-B1AF-3FBDCC721DF9Q47123216-940F5C52-83AF-40B6-BED1-AFB07090DF93Q47173144-ECAFBEE5-5D49-4FA3-9812-E3F02563C808Q52604690-3B9BBC15-3E33-4553-A3A1-42B993B45F7E
P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on January 2007
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Fall detection--principles and methods.
@en
Fall detection--principles and methods.
@nl
type
label
Fall detection--principles and methods.
@en
Fall detection--principles and methods.
@nl
prefLabel
Fall detection--principles and methods.
@en
Fall detection--principles and methods.
@nl
P2093
P1476
Fall detection--principles and methods.
@en
P2093
A K Bourke
G O Laighin
P304
P356
10.1109/IEMBS.2007.4352627
P407
P577
2007-01-01T00:00:00Z