Perception et réceptivité des proches-aidants à l’égard de la vidéosurveillance intelligente pour la détection des chutes des aînés à domicile

2015 ◽  
Vol 34 (4) ◽  
pp. 445-456 ◽  
Author(s):  
Nolwenn Lapierre ◽  
Chloë Proulx Goulet ◽  
Alain St-Arnaud ◽  
Francine Ducharme ◽  
Jean Meunier ◽  
...  
Keyword(s):  
Monitoring System ◽  
Mixed Method ◽  
Detection System ◽  
Fall Detection ◽  
Video Monitoring ◽  
Care Recipient ◽  
Positive Perception ◽  
Cross Sectional ◽  
Individual Interviews ◽  
System A

ABSTRACTTo address the issue of falls, which are increasing as the population ages, an intelligent video-monitoring system is being developed. The aim of the study is to explore caregivers’ perceptions of and receptiveness to a prototype of this fall detection system. A cross-sectional mixed-method study was carried out with individual interviews of 18 caregivers. Statistical frequencies and content analysis were conducted (SPSS and N’Vivo). The results show that most participants (n = 15/18) liked the intelligent video-monitoring system and were willing to use it. They would worry less if they could be alerted if a care recipient fell, but they were concerned about privacy and cost. Participants had a positive perception of the system and expressed their wishes regarding the kind of alert and the person to contact in case of a fall.

An intelligent video-monitoring system to detect falls: a proof of concept

2018 ◽  
Vol 12 (4) ◽  
pp. 155-168
Author(s):  
Nolwenn Lapierre ◽  
Jean Meunier ◽  
Alain St-Arnaud ◽  
Jacqueline Rousseau
Keyword(s):  
Older Adults ◽  
Monitoring System ◽  
Detection System ◽  
Phase 1 ◽  
Fall Detection ◽  
Video Monitoring ◽  
False Alarms ◽  
Proof Of Concept ◽  
Content Type ◽  
At Home

Purpose To face the challenges raised by the high incidence of falls among older adults, the intelligent video-monitoring system (IVS), a fall detection system that respects privacy, was developed. Most fall detection systems are tested only in laboratories. The purpose of this paper is to test the IVS in a simulation context (apartment-laboratory), then at home. Design/methodology/approach This study is a proof of concept including two phases: a simulation study to test the IVS in an apartment-laboratory (29 scenarios of activities including falls); and a 28-day pre-test at home with two young occupants. The IVS’s sensitivity (Se), specificity (Sp), accuracy (A) and error rate (E) in the apartment-laboratory were calculated, and functioning at home was documented in a logbook. Findings For phase 1, results are: Se =91.67 per cent, Sp =99.02 per cent, A=98.25 per cent, E=1.75. For phase 2, the IVS triggered four false alarms and some technical dysfunctions appeared (e.g. computer screen never turning off) that are easily overcome. Practical implications Results show the IVS’s efficacy at automatically detecting falls at home. Potential issues related to future installation in older adults’ homes were identified. This proof of concept led to recommendations about the installation and calibration of a camera-based fall detection system. Originality/value This paper highlights the potentialities of a camera-based fall detection system in real-world contexts and supports the use of the IVS to help older adults age in place.

A Realization of Face Detection System Based on ARM Linux

2013 ◽  
Vol 333-335 ◽  
pp. 864-867 ◽  
Author(s):  
Cong Ting Zhao ◽  
Hong Yun Wang ◽  
Jia Wei Li ◽  
Zi Lu Ying
Keyword(s):  
Embedded System ◽  
Monitoring System ◽  
Face Detection ◽  
Detection System ◽  
Detection Algorithm ◽  
Video Monitoring ◽  
Adaboost Algorithm ◽  
Arm Processor ◽  
The Face ◽  
Detection Effect

In order to adapt to the requirements of intelligent video monitoring system, this paper presents an ARM-Linux based video monitoring system for face detection. In this system, an ARM processor with a Linux operating system was used, and the USB camera was used to capture data, and then the face detection was conducted in the ARM device. The OpenCV library was transplanted to Linux embedded system. The algorithm of face detection was realized by calling the OpenCV library. Specially, adaboost algorithm was chose as the face detection algorithm. Experimental results show that the face detection effect of the system is satisfactory and can meet the real time requirement of video surveillance.

Design of Knowledge Reasoning Based Infrared Imagery Fault Detection System for Substation Equipments

2014 ◽  
Vol 571-572 ◽  
pp. 910-914
Author(s):  
Qing Yuan ◽  
Yin Cheng Qi
Keyword(s):  
Monitoring System ◽  
Infrared Imaging ◽  
Detection System ◽  
Infrared Image ◽  
System A ◽  
Knowledge Reasoning ◽  
Image Monitoring ◽  
On Line ◽  
Representation Method ◽  
Fault Mode

A knowledge reasoning based on-line infrared image monitoring system of the power equipments in substation is designed. The function, feature and structure of the system are introduced. Compare with the usual on-line infrared imaging monitoring system, a knowledge base is added and a knowledge reasoning method is used to diagnose the fault mode of operating equipments. The representation method of knowledge and processing of knowledge reasoning engine are introduced. Our research demonstrates that fault can be diagnosed correctly.

scholarly journals The study of skeleton description reduction in the human fall-detection task

2020 ◽  
Vol 44 (6) ◽  
pp. 951-958
Author(s):  
O.S. Seredin ◽  
A.V. Kopylov ◽  
E.E. Surkov
Keyword(s):  
Detection System ◽  
Fall Detection ◽  
Detection Task ◽  
Reduction Technique ◽  
System A ◽  
Recognition Quality ◽  
Human Figure ◽  
Overall Performance ◽  
Real Video ◽  
Time Fall

Accurate and reliable real-time fall detection is a key aspect of any intelligent elderly people care system. A lot of modern RGB-D cameras can provide a skeleton description of a human figure as a compact pose presentation. This makes it possible to use this description for further analysis without access to real video and, thus, to increase the privacy of the whole system. The skeleton description reduction based on the anthropometrical characteristics of a human body is proposed. The experimental study on the TST Fall Detection dataset v2 by the Leave-One-Person-Out method shows that the proposed skeleton description reduction technique provides better recognition quality and increases the overall performance of a Fall-Detection System.

Development of Fall Detection System Using Ultrasound Sensors

2011 ◽  
Vol 131 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Takuya Tajima ◽  
Takehiko Abe ◽  
Haruhiko Kimura
Keyword(s):  
Detection System ◽  
Fall Detection

Awareness of the preventive measures against Covid -19 spread among small shop owners

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1144-1150
Author(s):  
Muralidharan V A ◽  
Gheena S
Keyword(s):  
Infectious Disease ◽  
Data Analysis ◽  
Preventive Measures ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Positive Perception ◽  
Cross Sectional ◽  
Web Based ◽  
Small Shop ◽  
Structured Questionnaire

Covid -19 is an infectious disease caused by the newly discovered strain of coronavirus. As there is no vaccine discovered, the only way to prevent the spread is through following the practice of social isolation. But prolonged isolation may also lead to psychological stress and problems. The objective of the survey was to assess the knowledge and awareness of preventive measures against Covid 19 amongst small shop owners. A web-based cross-sectional study was conducted amongst the small shop owners.  A structured questionnaire comprising 15-17 questions had been put forth to assess the Covid 19 related knowledge and perception. The shopkeepers were contacted telephonically and responses recorded. The data analysis was performed using IBM SPSS statistics. Although the majority of the population had a positive perception about the preventive measures against the Covid spread, 36% of the shopkeepers were not aware of the preventive measures against the Covid spread. This study found optimal knowledge and perception of the preventive measures against Covid spread among the shopkeepers but misinformation and misunderstanding still prevailing. The shopkeepers are crucial in the prevention of the spread of Covid 19 and educating them might aid us in the fight against Covid- 19. 

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