scholarly journals New Image/Video Media and It's Application. Visualization System for Experiencing Visual Functions of Elderly People by Image Processing.

1996 ◽  
Vol 50 (10) ◽  
pp. 1489-1495 ◽  
Author(s):  
Tomoaki Nakano ◽  
Kazunori Higuchi ◽  
Shin Yamamoto
Keyword(s):  
Image Processing ◽  
Elderly People ◽  
Visualization System ◽  
Visual Functions

2P1-13 Preferred Lighting from Visual Functions of Elderly People : Lighting Conditions for "Kirei"

2005 ◽  
Vol 2005 (0) ◽  
pp. 195-198
Author(s):  
Misako YAMAGISHI ◽  
Kazuo YAMABA ◽  
Fumie KAWASAKI ◽  
Masanori NAGATA
Keyword(s):  
Elderly People ◽  
Visual Functions ◽  
Lighting Conditions

scholarly journals A multi-camera image processing and visualization system for train safety assessment

2017 ◽  
Vol 77 (2) ◽  
pp. 1583-1604 ◽  
Author(s):  
Giuseppe Lisanti ◽  
Svebor Karaman ◽  
Daniele Pezzatini ◽  
Alberto Del Bimbo
Keyword(s):  
Image Processing ◽  
Safety Assessment ◽  
Visualization System ◽  
Camera Image ◽  
Train Safety

scholarly journals Feature Assessment of Toe Area Activity during Walking of Elderly People with Stumbling Experiences through Wearable Clog-Integrated Plantar Visualization System

2020 ◽  
Vol 10 (4) ◽  
pp. 1359
Author(s):  
Yingjie Jin ◽  
Miho Shogenji ◽  
Tetsuyou Watanabe
Keyword(s):  
Elderly People ◽  
Heel Strike ◽  
Visualization System ◽  
Sensing System ◽  
Plantar Aspect ◽  
Straight Line ◽  
The Mean ◽  
The Difference ◽  
Reflecting Surface ◽  
The Relationship

In this study, we investigated the relationship between toe-area activity and stumbling experiences utilizing our developed sensing system, in order to assess toe-area activity in elderly people with stumbling experiences. The sensing system enables the visualization of the plantar aspect while walking on any surface and under any condition. An image of the plantar aspect is received at a reflecting surface and captured by a camera attached to a clog. The toe-area activity was evaluated by comparing the difference between the toe contact areas at heel-strike and push-off. Thirteen young individuals (nine men and four women, age 22.4 ± 2 years) and nine elderly individuals (five men and four women, age 65.3 ± 2 years) participated in the experiment by walking along a straight line wearing the plantar sensing system on their feet. The analysis found that a low value of the mean toe activity for multiple walking cycles was associated with high stumbling risk, irrespective of age, whereas large variations in toe activity was associated with aging. These results indicate that toe activity can predict stumbling risk irrespective of age. We also found that a large value of the maximum toe activity during multiple walking cycles indicates aging, whereas a low value is associated with high stumbling risk.

scholarly journals Human Fall Detection Using Video Surveillance

2021 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Kavya G ◽  
Sunil Kumar C T ◽  
Dhanush C ◽  
Kruthika J
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Elderly People ◽  
Background Subtraction ◽  
Learning Algorithm ◽  
Fall Detection ◽  
Severe Injuries ◽  
Deep Learning Algorithm ◽  
Human Movements ◽  
Proposed Model

Fall is one of the biggest challenge in elderly people, pregnant and small children’s, who stays alone in home. Sometimes this fall leads to severe injuries and even to death. Detecting the fall is very much important for elderly people. Convolutional Neural Network (CNN) is an deep learning algorithm used for image processing. In this paper, we present a video-based fall detection using CNN, this CNN will perform background subtraction and captures only foreground objects to detect the human movements and detect if fall happens. Firstly, camera will be capturing all the movements of the person. Our proposed model will detect the fall and finally an alarm is raised and email is sent to a given particular caretaker and family member. Our experimental results show the best performance of the proposed model.

MACROSCOPIC SPRAY BEHAVIOR AND ATOMIZATION CHARACTERISTICS OF R407C INJECTION

2012 ◽  
Vol 20 (03) ◽  
pp. 1250009 ◽  
Author(s):  
CHUL WOO ROH ◽  
MIN SOO KIM
Keyword(s):  
Image Processing ◽  
Ambient Pressure ◽  
Cone Angle ◽  
High Pressure Chamber ◽  
Qualitative Properties ◽  
Contour Map ◽  
Visualization System ◽  
Start Of Injection ◽  
Spray Visualization ◽  
Atomization Characteristics

This study investigated the spray behavior and atomization characteristics of refrigerant R407C injection in a high pressure chamber under various ambient pressure conditions using a spray visualization system and image processing methods. In order to observe the spray behavior of refrigerant R407C, the spray images were analyzed in time series after the start of injection. From images of spraying features, spray characteristics, for example, the spray tip penetration and cone angle were investigated by using the contour map of the light intensity levels. By using these processes, qualitative properties of refrigerant, when it is discharged from the valve, were quantified.

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