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Human Sensing Using Computer Vision for Personalized Smart Spaces

Dipak Surie, Saeed Partonia, Helena Lindgren
2013 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing  
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

Yanfei Peng
2019 International Journal of Performability Engineering  
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)  
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

Yi-cheng ZHANG
2019 DEStech Transactions on Computer Science and Engineering  
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

Georgios Galatas, Fillia Makedon
2013 International Journal of Advanced Computer Science and Applications  
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

David Bell, Nikhil Makwana, Chidozie Mgbemena
2014 Proceedings of the 3rd International Conference on Sensor Networks  
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]

Qin Zou, Lihao Ni, Qian Wang, Qingquan Li, Song Wang
2016 arXiv   pre-print
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

Van Bang Le
2014 International Journal of Information and Electronics Engineering  
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

Ehsan Ahvar, Nafiseh Daneshgar-Moghaddam, Antonio M. Ortiz, Gyu Myoung Lee, Noel Crespi
2016 Journal of Network and Computer Applications  
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

Anara Sandygulova, David Swords, Sameh Abdalla, Mauro Dragone, Gregory M. P. O'Hare
2013 2013 10th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)  
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

Boris Takač, Wei Chen, Matthias Rauterberg
2013 SPIE Newsroom  
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

Seongjo Lee, Sohyun Sim, Kyhyun Um, Young-Sik Jeong, Seung-won Jung, Kyungeun Cho
2015 Mathematical Problems in Engineering  
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

Marcel Lowell Villanueva
2019 Advanced Materials Proceedings  
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

Mau-Tsuen Yang, Shen-Yen Huang
2014 Sensors  
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]

Biswarup Ganguly, Amit Konar
2018 arXiv   pre-print
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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