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Presenter: Yi-hsiang Chen
Advisor: Yen-Ting Chen
2010.11.03
Southern Taiwan University
Institute of Biomedical Engineering
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Problems & Rationales
Purpose & Specific Aims
Background & Literatures Review
Materials & Methods
Conclusions
Future works
Reference
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Lowering low birth rate
◦ To provide the best care
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Growth environment has many potential crisis
◦ Sleep apnea caused by turning
◦ Damage caused by hazardous areas
 Crawling fall caused the damage
◦ SIDS
 Infants under the age of sudden death during sleep
syndrome
 Hypoxia
 Trauma
跌落
嬰兒猝死症Sudden Infant Death Syndrome (SIDS)
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Poor quality of care institutions
◦ Frequent accidents News
◦ Nanny expertise is not enough
◦ Child-care institutions caused by the accident
environment
趴睡窒息
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Purpose-Behavior Surveillance System for
Infant in Bed
◦
◦
◦
◦
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To leave short-term infant bed
Nanny to help care for the function
Reduce the probability of an accident baby
Installations are cheap, easy to obtain
Specific Aims
◦ Easy to use interface design
◦ Monitoring the safety of infant behavior
◦ The accuracy of statistical monitoring data
1~12個月嬰幼兒行為與危險對照表
月份
行
為
動
作
1~2
5~6
7~8
9~10
11~12
1.抬頭
1.翻身
1.翻身
1.手較有力
1.對事物好奇
1.對事物好奇
2.翻身
2.手抓棉被
2.手抓棉被
2.爬行
2.快速爬行
2.快速爬行
3.坐挺
1.翻身窒息
危
險
行
為
3~4
3.手抓物品
1.翻身窒息
1.翻身窒息
1.異物窒息
1.摔落
1.摔落
2.異物窒息
2.異物窒息
2.摔落
2.爬向危險區域
2.爬向危險區域
3.摔落
3.爬向危險區域
(衛生署)幼兒居家安全手冊
國防醫學院:早產兒採、仰府臥姿與其生理指標間之相關
幼兒家庭意外傷害與照顧者對幼兒意外傷害規範及處理之認識
嬰幼兒發展-謝佳容,楊承芳,周雨樺,郭淑芬,徐育愷
幼兒行為觀察與記錄-劉惠慈,王莉玲,林青青,杜宜展
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B. Jansen, F. Temmermans, and R. Deklerck, “3D human pose recognition for
home monitoring of elderly,” 29th Annual International Conference of the
IEEE Engineering in Medicine and Biology Society (EMBS 2007), 2007.
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C. Linti, H. Horter, P. Osterreicher, H. Planck ,“Sensory baby vest for
the monitoring of infants,” International Workshop on Wearable and
Implantable Body Sensor Networks, 3-5 April 2006.
GUI
Easy dressing and undressing of the
multi-sensory baby vest
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N. Al-Dasoqi, A. Mason, A. Shaw, and A. I. Al- Shamma‘a “Preventing Cot
Death for Infants in Day Care,”IEEE Sensors Application Symposium (SAS),
23-25 Feb., 2010
Overview of the respiratory cycle

Y. H. Qingsong “Face Detection Based on AdaBoost and Skin Color,” Second
International Symposium on Information Science and Engineering (ISISE),
2009.
YCbCr色彩轉換
Haar-like features
shows the face detection experiment result
which use skin color segmentation-Adaboost.
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Image processing
◦ Color Model Conversion
 YCbCr
 HSI
 Hue
 Saturation
 Intensity
RGB-YCbCr
Y. H. Qingsong “Face Detection Based on AdaBoost and
Skin Color,” Second International Symposium on
Information Science and Engineering (ISISE), 2009.
RGB-HSV
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Image segmentation
◦ Cut out the face region
◦ To prevent foreign interference
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Otsu's method
◦ The gray-scale image histogram automatically
determine the optimal threshold
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Color analysis
◦ Part of her face to find out
◦ Processing using color version
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Morphology
集合A被結構元素B斷開，定義為：
◦ Opening
◦ Closing
集合A被結構元素B閉合，定義為：

Face contour
◦ Characteristics of the eye
 Sleep
 Sober
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The amount of feature projection
◦ Level
◦ Vertical
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Characteristics of Matlab, the eyes look at
changes in test
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Image Tracking
◦ Subject focus
 Binary image of the body and mark the location
◦ Track record of focus
 Trajectory of center of gravity made the subject
 Whether to enter the target range of hazardous area
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Judgement of risk
◦ Area to determine the amount of the face image
 Babies
◦ System can be labeled as ROI hazardous areas
 ROI- Edge of the bed or windows, doors and
other dangerous areas within the room
 Infants and young children near the warning
notice will be issued
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Alert Communications
◦ Light News
 Green - normal state is currently in infants and
young children
 Yellow - the situation of infant suffocation may
occur and issue a warning notice
 Red - Infant issued an urgent notice near the
danger zone
◦ Sound(Found the time to strengthen)
 Yellow and red light near the representatives may
stifle danger zone - sound an alarm bell
真實情況
測量情況
正常情況
趴睡情況
靠近危險區域
測量次數
正常情況
22
3
0
25
趴睡情況
2
23
0
25
靠近危險區域
1
1
23
25
實驗結果: 90%
Can effectively inform the caregiver will monitor
失誤判斷原因
Dead issue
Experimental model and reality are different
Circle the location of ROI
解決問題
The placement of cameras
Increase in the placing of cameras
Future reality testing
正確
誤判

Has completed the experimental environment
set up and system planning
◦ Matlab system testing
◦ On completion of the face and lying to judge
◦ Crawl tracking
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Home care environment variables affect the
image quality
◦ Changes in light
◦ Layout of the complex environment
◦ Often change the background
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C. Z. Li, C.-K. Kim, and J.-S. Park, “The Indirect Keyboard Control System
by Using the Gaze Tracing Based on Haar Classifier in OpenCV,”
International Forum on Information Technology and Applications (IFITA '09),
2009.
J. Wright, and H. E. Gang, “Implicit elastic matching with random
projections for pose-variant face recognition,” IEEE Conference on
Computer Vision and Pattern Recognition (CVPR 2009), 2009.
P. Han and J.-M. Liao “Face detection based on adaboost,” International
Conference on Apperceiving Computing and Intelligence Analysis (ICACIA),
2009.
A. H. Nasution, Z. Peng, S. Emmanuel, “Video surveillance for elderly
monitoring and safety,”IEEE TENCON, 2009
吳美容“早產兒採仰.俯臥姿與其生理指標間之相關研究”國防醫學院, 護理研究所碩
士論文, 1999
鄧文蕙, “幼兒家庭意外傷害與照顧者對幼兒意外傷害防範及處理之認識,” 國防醫
學院, 公共衛生研究所 碩士論文, 1986.
Thank you for your attention