1 presenter: sheng-i yu adviser: dr. ji-jer huang date: 99.11.23

1

Presenter: Sheng-I Yu

Adviser: Dr. Ji-Jer Huang

Date: 99.11.23

Paper reviewPaper review

Materials and methodMaterials and method

ResultsResults

Future worksFuture works

ReferencesReferences

2

Bourke AK, O’Brien JV, Lyons GM. Evaluation of a

threshold-based tri-axial accelerometer fall detection algorithm. Gait Posture2007;26(2):194–9.

3

Introduction

Thirty-two percent of elderly people aged over 75 years have ever fallen at least once a year, and among them, 24% have seriously injured.

Falling can limit self-confidence and motivation of older people’s independent life.

This is a serious public health problem with a substantial impact on health and healthcare costs.

Considering the increasing population of elderly people, falling will become one of the major problems to them.

4

Materials and methods

5

Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm

Materials and methods

6

Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm

The Activities of Daily Living study

Sitting down on and standing up from a bed.

Sitting down and standing up from chair.

Sitting down and standing up from a toilet seat.

Getting in and out of a car seat.

Walking 3m.

7Activities of Daily Living : 日常生活活動

Materials and methods

8

Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm

9UFT ： Upper Fall Thresholds 正面跌下範圍 LFT ： Lower Fall Thresholds 背面跌下範圍

(a)

Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm

10

Form: Bourke AK, O’Brien JV, Lyons GM. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm