New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images
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Title
New Fast Fall Detection Method Based on Spatio-Temporal Context Tracking of Head by Using Depth Images
Authors
Keywords
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Journal
SENSORS
Volume 15, Issue 9, Pages 23004-23019
Publisher
MDPI AG
Online
2015-09-15
DOI
10.3390/s150923004
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- (2015) Zhen-Peng Bian et al. IEEE Journal of Biomedical and Health Informatics
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- An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment
- (2013) Miao Yu et al. IEEE Journal of Biomedical and Health Informatics
- Automatic Fall Detection and Activity Classification by a Wearable Embedded Smart Camera
- (2013) Koray Ozcan et al. IEEE Journal on Emerging and Selected Topics in Circuits and Systems
- 3D head tracking for fall detection using a single calibrated camera
- (2012) Caroline Rougier et al. IMAGE AND VISION COMPUTING
- A survey on fall detection: Principles and approaches
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- Introducing the use of depth data for fall detection
- (2012) Rainer Planinc et al. Personal and Ubiquitous Computing
- Fall detection system using Kinect’s infrared sensor
- (2012) Georgios Mastorakis et al. Journal of Real-Time Image Processing
- Slip and fall event detection using Bayesian Belief Network
- (2011) Yi Ting Liao et al. PATTERN RECOGNITION
- Detection of falls among the elderly by a floor sensor using the electric near field
- (2010) Henry Rimminen et al. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE
- A Method for Automatic Fall Detection of Elderly People Using Floor Vibrations and Sound—Proof of Concept on Human Mimicking Doll Falls
- (2009) Y. Zigel et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Portable Preimpact Fall Detector With Inertial Sensors
- (2008) Ge Wu et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
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