A Multi-View Human Bounding Volume Estimation for Posture Recognition in Elderly Monitoring System

2016 ◽  
Author(s):  
M.A. Mousse ◽  
C. Motamed ◽  
E.C. Ezin
Keyword(s):  
Monitoring System ◽  
Volume Estimation ◽  
Bounding Volume ◽  
Posture Recognition

scholarly journals Saliency based human fall detection in smart home environments using posture recognition

2021 ◽  
Vol 27 (3) ◽  
pp. 146045822110309
Author(s):  
Mikael Ange Mousse ◽  
Béthel Atohoun
Keyword(s):  
Monitoring System ◽  
Smart Home ◽  
Fall Detection ◽  
Human Posture ◽  
Bounding Volume ◽  
Research Theme ◽  
Smart Home Environment ◽  
Posture Recognition ◽  
Public Dataset ◽  
Modelling Approach

The implementation of people monitoring system is an evolving research theme. This paper introduces an elderly monitoring system that recognizes human posture from overlapping cameras for people fall detection in a smart home environment. In these environments, the zone of movement is limited. Our approach used this characteristic to recognize human posture fastly by proposing a region-wise modelling approach. It classifies persons pose in four groups: standing, crouching, sitting and lying on the floor. These postures are obtained by calculating an estimation of the human bounding volume. This volume is estimated by obtaining the height of the person and its surface that is in contact with the ground according to the foreground information of each camera. Using them, we distinguish each postures and differentiate lying on floor posture, which can be considered as the falling posture from other postures. The global multiview information of the scene is obtaining by using homographic projection. We test our proposed algorithm on multiple cameras based fall detection public dataset and the results prove the efficiency of our method.

scholarly journals Smart Pleural Effusion Drainage Monitoring System Establishment for Rapid Effusion Volume Estimation and Safety Confirmation

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 135192-135203 ◽  
Author(s):  
Pi-Yun Chen ◽  
Chia-Hung Lin ◽  
Chung-Dann Kan ◽  
Neng-Sheng Pai ◽  
Wei-Ling Chen ◽  
...  
Keyword(s):  
Pleural Effusion ◽  
Monitoring System ◽  
Volume Estimation ◽  
System Establishment

scholarly journals A Proposal of Implementation of Sitting Posture Monitoring System for Wheelchair Utilizing Machine Learning Methods

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6349
Author(s):  
Jawad Ahmad ◽  
Johan Sidén ◽  
Henrik Andersson
Keyword(s):  
Machine Learning ◽  
Pressure Distribution ◽  
Real Time ◽  
Monitoring System ◽  
Pressure Ulcers ◽  
Machine Learning Algorithms ◽  
Raspberry Pi ◽  
Support Vector ◽  
Processing Unit ◽  
Posture Recognition

This paper presents a posture recognition system aimed at detecting sitting postures of a wheelchair user. The main goals of the proposed system are to identify and inform irregular and improper posture to prevent sitting-related health issues such as pressure ulcers, with the potential that it could also be used for individuals without mobility issues. In the proposed monitoring system, an array of 16 screen printed pressure sensor units was employed to obtain pressure data, which are sampled and processed in real-time using read-out electronics. The posture recognition was performed for four sitting positions: right-, left-, forward- and backward leaning based on k-nearest neighbors (k-NN), support vector machines (SVM), random forest (RF), decision tree (DT) and LightGBM machine learning algorithms. As a result, a posture classification accuracy of up to 99.03 percent can be achieved. Experimental studies illustrate that the system can provide real-time pressure distribution value in the form of a pressure map on a standard PC and also on a raspberry pi system equipped with a touchscreen monitor. The stored pressure distribution data can later be shared with healthcare professionals so that abnormalities in sitting patterns can be identified by employing a post-processing unit. The proposed system could be used for risk assessments related to pressure ulcers. It may be served as a benchmark by recording and identifying individuals’ sitting patterns and the possibility of being realized as a lightweight portable health monitoring device.

Monitoring des Arzneimittelmissbrauchs 2006 bei Klienten von Suchtberatungsstellen (PHAR-MON)

2007 ◽  
Vol 53 (7) ◽  
pp. 65-77 ◽  
Author(s):  
Susanne Roesner ◽  
Heinrich Küfner
Keyword(s):  
Monitoring System

<span class="fett">Hintergrund und Zielsetzung:</span> PHAR-MON ist ein Monitoring-System, das die auf dem deutschen Markt befindlichen Arzneimittel in ihrer Bedeutung für die Entwicklung von Missbrauch und Abhängigkeit in Suchtberatungsstellen überwacht. </p><p> <span class="fett">Methodik:</span> Klienten ambulanter Beratungsstellen werden im Rahmen der Standarddokumentation zu ihrem Arzneimittelkonsum befragt und Fälle eines abhängigen Konsums, eines schädlichen Gebrauchs oder eines Missbrauchs in PHAR-MON dokumentiert. </p><p> <span class="fett">Ergebnisse:</span> Im Jahr 2006 wurden insgesamt 448 Meldungen von 276 überwiegend alkohol- und drogenabhängigen Klienten in das Monitoring einbezogen. Tranquilizer vom Benzodiazepin-Typ wurden in allen Klientengruppen mit Anteilen zwischen 29,1 % und 35,3 % am häufigsten dokumentiert. An benzodiazepinabhängige Klienten werden zunehmend auch Nicht-Benzodiazepin-Hypnotika verordnet. Bei opioidabhängigen Klienten war im Zeitraum der letzten fünf Jahre ein Anstieg im missbräuchlichen Substitutionsmittelkonsum von 14,9 % auf 33,8 % zu verzeichnen. </p><p> <span class="fett">Schlussfolgerungen:</span> Das Risiko gefährlicher Wechselwirkungen zwischen Arzneimitteln mit Alkohol und Drogen sollte stärker als bisher in die ärztliche Verordnungsentscheidung einbezogen werden.

Commercial Drivers' Initial Attitudes toward an On-Board Monitoring System

2012 ◽  
Author(s):  
Yiyun Peng ◽  
Mahtab Ghazizadeh ◽  
Linda Ng Boyle ◽  
John D. Lee
Keyword(s):  
Monitoring System ◽  
Commercial Drivers ◽  
Board Monitoring

Bounding Volume Hierarchies for Detecting Collision in Urban Simulation

2008 ◽  
Author(s):  
Hamzah Asyrani Sulaiman ◽  
Abdullah Bade ◽  
Daut Daman ◽  
Mohd Shahrizal Sunar
Keyword(s):  
Bounding Volume ◽  
Urban Simulation ◽  
Bounding Volume Hierarchies
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