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Human Sensing Using Computer Vision for Personalized Smart Spaces
2013
2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing
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A wall-mounted Kinect is used for both single occupant and multi-occupant settings in kitchen As-A-Pal. ...
The fused approach gives human identity recognition accuracy of 91.75% precision and 66% recall values for single occupant setting with good smart space coverage. ...
ACKNOWLEDGMENT This work is sponsored by the Swedish Brain Power and is part of the As-A-Pal project. ...
doi:10.1109/uic-atc.2013.24
dblp:conf/uic/SuriePL13
fatcat:vtp3zrvbnvadbjsdiiutxurfy4
Smart Home based on Kinect Gesture Recognition Technology
2019
International Journal of Performability Engineering
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To obtain and recognize gestures of human by the depth data, skeleton data and 3D point clouds uses Kinect. ...
In order to satisfy the needs of people's intelligent home environment, this paper proposes an intelligent home control system based on gesture recognition technology. ...
Acknowledgement The authors wish to express their gratitude towards the financial supports from Science and Technology Department of ...
doi:10.23940/ijpe.19.01.p26.261269
fatcat:ygszsqonpbcmtbgsasfyhqkzyu
Fall Detection for Elderly People in Indoor Environment using Kinect Sensor
2017
International Journal of Science and Research (IJSR)
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Through the analysis of the existing fall detection techniques, a more easy and quick algorithm about human body fall detection based on the human skeleton extraction using Kinect sensor is proposed in ...
Using new technologies such as the Kinect sensor with matlab could bring innovative ways to build smart systems that could use to observe the elderly people at homes and notify the caretakers in case of ...
So the system can easily be applied in smart home environment. The system can also be used with elderly people using crutches, canes, and walkers and works reliably. ...
doi:10.21275/art20164595
fatcat:zwvgabwd5vfx7kbarmav2omdt4
Gesture Recognition System Based on Improved Stacked Hourglass Structure
2019
DEStech Transactions on Computer Science and Engineering
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However, in the actual application of human gesture recognition, when the complex reality environment is encountered, the recognition accuracy and real-time performance of the existing methods are degraded ...
This paper proposes an improved Stacked Hourglass structure for human body gesture recognition, which further reduces the weight and number of hyperparameters of the Stacked Hourglass structure without ...
In addition to wearable smart sensors, depth vision sensors are also a type of sensor that is often used in human body attitude detection. ...
doi:10.12783/dtcse/ccme2018/28570
fatcat:slxtwzhmvnevrlhjm4vauc3mqi
A System for Multimodal Context-Awareness
2013
International Journal of Advanced Computer Science and Applications
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RFID information is used mainly for identification purposes but also for rough location estimation, enabling mapping of the location information from the Kinect sensors to the identification events of ...
Our system was evaluated in a real world scenario and attained promising results exhibiting high accuracy, therefore showing the great prospect of using the RFID and Kinect sensors jointly to solve the ...
ACKNOWLEDGMENTS We would like to thank Shahina Ferdous for her invaluable help. ...
doi:10.14569/ijacsa.2013.040921
fatcat:v7pcminxqbaqxft6jv7n7us5gq
Sensing Gestures for Business Intelligence
english
2014
Proceedings of the 3rd International Conference on Sensor Networks
english
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This paper explores the use of the Microsoft Kinect sensor to provide intelligence by identifying and sensing gestures to better understand customer behaviour in the retail space. ...
The combination of sensor data with analytic techniques is growing in popularity for both practitioners and researchers as an Internet of Things (IoT) offers new opportunities and insights. ...
Recapture A motion sensor is placed in the retail environment that captures gestures (based on the earlier rule identification). ...
doi:10.5220/0004878100520060
dblp:conf/sensornets/BellMM14
fatcat:pxuoclnblzhfddlor2vb7drjlm
Robust Gait Recognition by Integrating Inertial and RGBD Sensors
[article]
2016
arXiv
pre-print
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In this paper, we propose to combine all three types of sensors for gait data collection and gait recognition, which can be used for important identification applications, such as identity recognition ...
Traditionally, gait data are collected using either color sensors, such as a CCD camera, depth sensors, such as a Microsoft Kinect, or inertial sensors, such as an accelerometer. ...
In this paper, we use accelerometer in the smart phone as inertial sensors and Microsoft Kinect as color and depth sensors. ...
arXiv:1610.09816v1
fatcat:i7kravot5rerrpma5n4kfmz5ty
Hand Detecting and Positioning Based on Depth Image of Kinect Sensor
2014
International Journal of Information and Electronics Engineering
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This paper presents a new method of detection and identification, called PYTHON programming environment, which can realize the gesture track recognition based on the depth image information get by the ...
Kinect sensor. ...
Kinect sensor field is design with 57° level angle, 43 ° vertical angle, and 27 ° of elevation.
II. DEPTH IMAGE OF THE KINECT Data from the Kinect sensors was shown in Fig. 2 . ...
doi:10.7763/ijiee.2014.v4.430
fatcat:acljq3gea5en5gfnjvy6dthwgq
On analyzing user location discovery methods in smart homes: A taxonomy and survey
2016
Journal of Network and Computer Applications
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Although we mainly focus on smart homes, the results of this article can be generalized to other spaces such as smart offices and eHealth environments. ...
Mapping contributes to gap analysis for existing ULDs and also validates the applicability and accuracy of the taxonomy. ...
The use of tags, usually based on RFID technology, leads to benefits for ULD in smart home environments. ...
doi:10.1016/j.jnca.2016.09.012
fatcat:zfj4sxhgdzecbmlposncjwwdzi
Ubiquitous human perception for real-time gender estimation
2013
2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
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In environments where robotic systems are deployed people often have different requirements for the robotic services and human-robot interaction methods. ...
This system combines ubiquitous smart sensing, methods of multi-modal human perception and existing human recognition algorithms from the field of biometrics to collectively work towards a real-time, robust ...
Acknowledgement This work has been supported by the Irish Research Council "Embark Initiative", in conjunction with funding from the EU FP7 RUBICON project (contract n. 269914), and Science Foundation ...
doi:10.1109/urai.2013.6677485
dblp:conf/urai/SandygulovaSADO13
fatcat:zzf2wg3iejg5tnsmkfmyd72w5i
Toward a domestic system to assist people with Parkinson's
2013
SPIE Newsroom
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A new home tracking system based on a Microsoft Kinect sensor will help patients with the symptom of 'freezing of gait.' ...
We have been developing a system that uses this type of sensor to track multiple people inside a home. 10 We use Kinect cameras only on the most problematic locations for FoG in people's homes; it is ...
Her research interests include sensor systems for ambient intelligent design, healthcare system design using wearable sensors, wireless body area networks, and smart environments. ...
doi:10.1117/2.1201305.004884
fatcat:qpzxyymttngw7f2ooznz6nmt5y
Development of a Hand Gestures SDK for NUI-Based Applications
2015
Mathematical Problems in Engineering
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Concomitant with the advent of the ubiquitous era, research into better human computer interaction (HCI) for human-focused interfaces has intensified. ...
We generated gestures using the proposed SDK and developed a "Smart Interior," NUI-based application using the Gesture Recognition Component. ...
NUI is human-focused interface that uses the human body as an input, using sensors or cameras [3] . ...
doi:10.1155/2015/212639
fatcat:6uxfklevizejpengb7eqhew75e
Using gestures to interact with home automation systems
2019
Advanced Materials Proceedings
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In addition, various modes of interactions for the control and automation of residential environments are an emerging area of study within Human-Computer Interaction. ...
Lastly, the study will present the analysis and effects of gestures control for a higher up-take of smart home solutions towards designing and maintaining buildings of the future that are both user-centric ...
Acknowledgements This research is part of the Erasmus Mundus Joint Master's Degree (EMJMD) in Pervasive Computing and Communications for Sustainable Development (PERRCOM) [34] . ...
doi:10.5185/amp.2019.1443
fatcat:ismirdwh4rbxrbfji4lwdh24ae
Appearance-Based Multimodal Human Tracking and Identification for Healthcare in the Digital Home
2014
Sensors
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Experimental results show the effectiveness of the human tracking across multiple sensors and human identification considering the information of multi-view faces, full-body clothes, and silhouettes. ...
Then the Kinects and another set of color cameras installed in other parts of the house are used to detect, track, and identify people by matching the captured color images with the registered templates ...
Yang focused on guiding the research and writing the paper. Huang was mainly in charge of the implementation.
Conflicts of Interest The authors declare no conflict of interest. Sensors 2014, 14 ...
doi:10.3390/s140814253
pmid:25098207
pmcid:PMC4179041
fatcat:7ha67prmunekdib2vbdz6cgdwi
Kinect Sensor Based Gesture Recognition for Surveillance Application
[article]
2018
arXiv
pre-print
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These skeleton structures have been detected successfully due to the smart progress of some devices, used to measure depth. ...
Hand gesture recognition has been granted as one of the emerging fields in research today providing a natural way of communication between man and a machine. ...
Acknowledgments The research work is supported by the University Grants Commission, India, University with Potential for Excellence Program (Phase II) in Cognitive Science, Jadavpur University. ...
arXiv:1812.09595v1
fatcat:hkayujn4gbavzbviwlbjvliyce
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