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Evaluation of a monitoring system for event recognition of older people
2013
2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance
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The prototype uses as input a 2D RGB camera, and its performance is compared to the use of a RGB-D camera. ...
The experimentation results show the proposed approach has a competitive performance to the use of a RGB-D camera, even outperforming it on event recognition precision. ...
A 2D-RGB camera is used to track the people over the environment and estimate their posture. ...
doi:10.1109/avss.2013.6636634
dblp:conf/avss/CrispimBFKRTB13
fatcat:weawmlj4mbaodpgsosfxvoxdei
A Hierarchical Description-based Video Monitoring System for Elderly
2017
Proceeding of the Electrical Engineering Computer Science and Informatics
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In this research, prototype of an inexpensive video monitoring system for the elderly using a single RGB camera proposed. ...
For event recognition, we use a hierarchical description-based approach with three attributes, namely posture (e.g., stand, sit and lie), location (e.g., walking zone, relaxing zone and toilet zone) and ...
[6] use four cameras to capture the scene from different angles. They extract the location of the subject to activities recognized. Dubois et al. [7] using the RGB-D camera to capture objects. ...
doi:10.11591/eecsi.v4.1044
fatcat:4cejxgl25nbjxlabw6app6bcoa
Combining multiple sensors for event recognition of older people
2013
Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare - MIIRH '13
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conflicting events from video cameras with a partially overlapped field of view (a RGB-and a RGB-D-camera). ...
Event models combine a priori knowledge of the scene (3D geometric and semantic information, such as contextual zones and equipments) with moving objects (e.g., a Person) detected by a monitoring system ...
It models the context of a human (e.g., body posture) using data from a set of cameras, and of the environment (semantic information about the scene) using data of accelerometer devices attached to objects ...
doi:10.1145/2505323.2505329
dblp:conf/mm/JuniorFRMBT13
fatcat:dc54m4otejeddhawpo6h7ag7cq
Fall detection and activity recognition using human skeleton features
2021
IEEE Access
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It carries out the detection using human skeleton estimation for features extraction. ...
The use of human skeleton detection opens the possibility for detecting not only falls but also different kind of activities for several subjects in the same scene. ...
It is the first RGB-D dataset that provides ground truth data for different body parts of a person moving in a scene with occlusions. ...
doi:10.1109/access.2021.3061626
fatcat:nk5btenvnjdcvougdk4e3nphqy
Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments
2016
Computer Vision and Image Understanding
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in the same context. ...
Alternatively, identifying human posture with traditional 2D video cameras can be performed using computer vision techniques [3] . ...
Sitting on a chair and working on a work bench Here, we perform evaluation on the sitting to work posture database, which includes healthy, B-1 and B-2 postures as explained in Section 6.2 . ...
doi:10.1016/j.cviu.2015.12.011
fatcat:bq3wk3m34jbfbhqhe7i4z2n5ma
An Unobtrusive and Non-Contact Method for Respiratory Measurement With Respiratory Region Detecting Algorithm Based on Depth Images
2019
IEEE Access
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The proposed algorithm contains four steps: body edge extraction, noise reduction, "image skeleton" extraction, and respiratory region estimation. ...
As a result, the respiratory waveform can be derived from the depth data in the ROI. ...
(a) and (d) show that the subject is in the stand posture, (b) and (e) show the subject is in the sit posture, and (c) and (f) show the subject is in the supine posture. ...
doi:10.1109/access.2018.2890082
fatcat:gvg3ancw6fhaln6omyd7oq6q5u
Uncertainty Modeling Framework for Constraint-Based Elementary Scenario Detection in Vision Systems
[chapter]
2015
Lecture Notes in Computer Science
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The uncertainty modeling framework is demonstrated on the detection of activities of daily living of participants of an Alzheimer's disease study, monitored by a vision system using a RGB-D sensor (Kinect ...
Although effective those representations have difficulty on incorporating scene semantics. ...
(person changes from sitting to standing posture before person in corridor zone). ...
doi:10.1007/978-3-319-16181-5_19
fatcat:bmxdkzmvu5cflfekyy73au3rou
Radar and RGB-Depth Sensors for Fall Detection: A Review
2017
IEEE Sensors Journal
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This paper reviews recent works in the literature on the use of systems based on Radar and RGB-Depth sensors for fall detection, and discusses outstanding research challenges and trends related to this ...
Researchers from different fields can benefit from multidisciplinary knowledge and awareness of the latest developments in radar and RGB-D sensors that this paper is discussing. ...
Finally, the review of the state-of-the-art for radar and RGB-D sensors in the context of fall detection and human activity recognition is important to identify gaps and future research directions, in ...
doi:10.1109/jsen.2017.2697077
fatcat:4pu3dtph2fcu7ictfcf6z3wu6y
Neural Networks for Automatic Posture Recognition in Ambient-Assisted Living
2022
Sensors
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of the subject in an ecological context within each recorded frame. ...
To this goal, we propose a monitoring system detecting dangerous situations by classifying human postures through Artificial Intelligence (AI) solutions. ...
the NTU RGB + D one [23, 24] . ...
doi:10.3390/s22072609
pmid:35408224
pmcid:PMC9003043
fatcat:yfqn5cslffeurpd2bnzrispuia
Predicting bedside falls using current context
2017
2017 IEEE Symposium Series on Computational Intelligence (SSCI)
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Such tools would need to use the current context as input to predict an imminent fall. ...
These features are used by a classification algorithm to create a probability matrix representing the conditional probability of an individual in the current frame being recognized in a specific location ...
I EXPERIMENT SCENES AND INSTRUCTIONS
Scene 1
Scene 2
Scene 3
Scene 4
Enter room
Sit down
(in bed)
Enter room
Fall down
(beside bed)
Enter room
Lay down
(in bed)
Enter room
Lay down ...
doi:10.1109/ssci.2017.8280988
dblp:conf/ssci/DanielsenB17
fatcat:bxqvze4ytbglfj7efumtsjqsqq
A Vision-Based System for Monitoring Elderly People at Home
2020
Applied Sciences
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In this work, we propose a monitoring system designed to be as unobtrusive as possible, by exploiting computer vision techniques and visual sensors such as RGB cameras. ...
We subsequently curate a taxonomy of human actions, derived from different sources in the literature, and provide the scientific community with considerations about the mutual exclusivity and commonalities ...
Acknowledgments: We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Jetson TX1 Kit and the Titan Xp GPU used for this research. ...
doi:10.3390/app10010374
fatcat:d7mkeskoufdn3phtozckn4kafe
Human activity recognition from skeleton poses
[article]
2019
arXiv
pre-print
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A promising approach is using trained classifiers to recognise human actions through sequences of skeleton poses extracted from images or RGB-D data from a sensor. ...
Human Action Recognition is an important task of Human Robot Interaction as cooperation between robots and humans requires that artificial agents recognise complex cues from the environment. ...
For the present work the RGB-D will be disregarded and only the skeleton joint positions will be used. ...
arXiv:1908.08928v1
fatcat:cawqgl7psvfo7awuc6vk6i4ptq
An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment
2013
IEEE journal of biomedical and health informatics
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ACKNOWLEDGEMENT The authors wish to acknowledge the valuable help of the Associate Editor and anonymous reviewers in improving the quality of our paper. ...
in the scene during the initial training period. ...
Figure 6 (d) shows the corresponding histograms for four postures of standing, sitting, bending and lying. ...
doi:10.1109/jbhi.2013.2274479
pmid:24240718
fatcat:w74djo7hxjczlbgt5n5af73yiu
Kinect Sensor Based Gesture Recognition for Surveillance Application
[article]
2018
arXiv
pre-print
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Human body movements have been viewed using these depth sensors which can provide sufficient accuracy while tracking full body in real time mode with low cost. ...
Human body tracking is a well studied topic in todays era of Human Computer Interaction and it can be formed by the virtue of human skeleton structures. ...
Step V : Estimating observation symbols. ...
arXiv:1812.09595v1
fatcat:hkayujn4gbavzbviwlbjvliyce
Towards a Live Feedback Training System: Interchangeability of Orbbec Persee and Microsoft Kinect for Exercise Monitoring
2021
Designs
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Furthermore, we used both skeleton datasets as input for the ILSE exercise monitoring including posture recognition and repetition-counting. ...
Nine functional training exercises were performed by six healthy subjects in front of both systems simultaneously. ...
The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. ...
doi:10.3390/designs5020030
fatcat:z7xhcu6xzng4pkenwebm5nmyru
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