Fall detection with the support vector machine during scripted and continuous unscripted activities.
about
Detecting falls with wearable sensors using machine learning techniques.Smartphone-based solutions for fall detection and prevention: challenges and open issuesA Cuffless Blood Pressure Measurement Based on the Impedance Plethysmography Technique.Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets.Highly Portable, Sensor-Based System for Human Fall Monitoring.Characterizing Dynamic Walking Patterns and Detecting Falls with Wearable Sensors Using Gaussian Process Methods.Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection with Supervised Learning.A Novel Detection Model and Its Optimal Features to Classify Falls from Low- and High-Acceleration Activities of Daily Life Using an Insole Sensor System.Supervised Expert System for Wearable MEMS Accelerometer-Based Fall Detector
P2860
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P2860
Fall detection with the support vector machine during scripted and continuous unscripted activities.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
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2012年學術文章
@zh-hant
name
Fall detection with the suppor ...... tinuous unscripted activities.
@ast
Fall detection with the suppor ...... tinuous unscripted activities.
@en
type
label
Fall detection with the suppor ...... tinuous unscripted activities.
@ast
Fall detection with the suppor ...... tinuous unscripted activities.
@en
prefLabel
Fall detection with the suppor ...... tinuous unscripted activities.
@ast
Fall detection with the suppor ...... tinuous unscripted activities.
@en
P2860
P356
P1433
P1476
Fall detection with the suppor ...... tinuous unscripted activities.
@en
P2093
Shing-Hong Liu
Wen-Chang Cheng
P2860
P304
12301-12316
P356
10.3390/S120912301
P407
P577
2012-09-07T00:00:00Z