Academic literature on the topic 'Sensor Kinect'

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Journal articles on the topic "Sensor Kinect"

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Tölgyessy, Michal, Martin Dekan, and Ľuboš Chovanec. "Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect." Applied Sciences 11, no. 12 (2021): 5756. http://dx.doi.org/10.3390/app11125756.

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The Azure Kinect, the successor of Kinect v1 and Kinect v2, is a depth sensor. In this paper we evaluate the skeleton tracking abilities of the new sensor, namely accuracy and precision (repeatability). Firstly, we state the technical features of all three sensors, since we want to put the new Azure Kinect in the context of its previous versions. Then, we present the experimental results of general accuracy and precision obtained by measuring a plate mounted to a robotic manipulator end effector which was moved along the depth axis of each sensor and compare them. In the second experiment, we
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Tölgyessy, Michal, Martin Dekan, Ľuboš Chovanec, and Peter Hubinský. "Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2." Sensors 21, no. 2 (2021): 413. http://dx.doi.org/10.3390/s21020413.

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The Azure Kinect is the successor of Kinect v1 and Kinect v2. In this paper we perform brief data analysis and comparison of all Kinect versions with focus on precision (repeatability) and various aspects of noise of these three sensors. Then we thoroughly evaluate the new Azure Kinect; namely its warm-up time, precision (and sources of its variability), accuracy (thoroughly, using a robotic arm), reflectivity (using 18 different materials), and the multipath and flying pixel phenomenon. Furthermore, we validate its performance in both indoor and outdoor environments, including direct and indi
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Tölgyessy, Michal, Martin Dekan, Ľuboš Chovanec, and Peter Hubinský. "Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2." Sensors 21, no. 2 (2021): 413. http://dx.doi.org/10.3390/s21020413.

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The Azure Kinect is the successor of Kinect v1 and Kinect v2. In this paper we perform brief data analysis and comparison of all Kinect versions with focus on precision (repeatability) and various aspects of noise of these three sensors. Then we thoroughly evaluate the new Azure Kinect; namely its warm-up time, precision (and sources of its variability), accuracy (thoroughly, using a robotic arm), reflectivity (using 18 different materials), and the multipath and flying pixel phenomenon. Furthermore, we validate its performance in both indoor and outdoor environments, including direct and indi
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Mirdanies, Midriem, and Roni Permana Saputra. "Experimental review of distance sensors for indoor mapping." Journal of Mechatronics, Electrical Power, and Vehicular Technology 8, no. 2 (2017): 85. http://dx.doi.org/10.14203/j.mev.2017.v8.85-94.

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One of the most important required ability of a mobile robot is perception. An autonomous mobile robot has to be able to gather information from the environment and use it for supporting the accomplishing task. One kind of sensor that essential for this process is distance sensor. This sensor can be used for obtaining the distance of any objects surrounding the robot and utilize the information for localizing, mapping, avoiding obstacles or collisions and many others. In this paper, some of the distance sensor, including Kinect, Hokuyo UTM-30LX, and RPLidar were observed experimentally. Streng
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V., Chandraprasad. "Body Measurement System Using Kinect Sensor." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (2020): 254–59. http://dx.doi.org/10.5373/jardcs/v12sp7/20202105.

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Fisher, Kristie J., Tim Nichols, Katherine Isbister, and Tom Fuller. "Quantifying “Magic”." International Journal of Gaming and Computer-Mediated Simulations 6, no. 1 (2014): 26–40. http://dx.doi.org/10.4018/ijgcms.2014010102.

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In November 2010, Microsoft released the Kinect sensor as a new input device for the Xbox 360 gaming console, and more recently the “next generation” of Kinect was released in November 2013 as part of the Xbox One entertainment system. Kinect has the ability to detect multiple points of skeletal movement, differentiating among multiple simultaneous users. This ability enables users to control and interact with on-screen elements by moving their bodies in space (e.g., move characters, select menu items, manipulate virtual objects). Controllers or on-body sensors are not needed to use gesture in
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Kurniawan, Aditya, and Kholilatul Wardani. "Kinect Structural Noise Elimination Technique For ITIS Mobile Robot Data Collector." International Journal of Engineering & Technology 7, no. 4.27 (2018): 1. http://dx.doi.org/10.14419/ijet.v7i4.27.22425.

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A contemporary study on the Kinect sensor as a visual sensor device for robots shows that the sensor has some fundamental flaws. One of them are shadows on the object edge that will affect the process of recognition of shape (shape recognition) spatially. If the Kinect sensor is used in the robot vision navigation system, the sensor may lead to errors in the robot's decision on the shape of the object sensed by the sensor. The previous research reports a positive influence on the variation of smoothing process by using neighborhood filtering. This research will use multiple neighborhood locali
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Pagliaria, D., L. Pinto, M. Reguzzoni, and L. Rossi. "INTEGRATION OF KINECT AND LOW-COST GNSS FOR OUTDOOR NAVIGATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 565–72. http://dx.doi.org/10.5194/isprsarchives-xli-b5-565-2016.

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Since its launch on the market, Microsoft Kinect sensor has represented a great revolution in the field of low cost navigation, especially for indoor robotic applications. In fact, this system is endowed with a depth camera, as well as a visual RGB camera, at a cost of about 200$. The characteristics and the potentiality of the Kinect sensor have been widely studied for indoor applications. The second generation of this sensor has been announced to be capable of acquiring data even outdoors, under direct sunlight. The task of navigating passing from an indoor to an outdoor environment (and vic
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Pagliari, D., L. Pinto, M. Reguzzoni, and L. Rossi. "INTEGRATION OF KINECT AND LOW-COST GNSS FOR OUTDOOR NAVIGATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B5 (June 15, 2016): 565–72. http://dx.doi.org/10.5194/isprs-archives-xli-b5-565-2016.

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Since its launch on the market, Microsoft Kinect sensor has represented a great revolution in the field of low cost navigation, especially for indoor robotic applications. In fact, this system is endowed with a depth camera, as well as a visual RGB camera, at a cost of about 200$. The characteristics and the potentiality of the Kinect sensor have been widely studied for indoor applications. The second generation of this sensor has been announced to be capable of acquiring data even outdoors, under direct sunlight. The task of navigating passing from an indoor to an outdoor environment (and vic
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Hendra, Hendra. "ANALISA SISTEM PEMINDAI 3D BERBASIS KINECT TECHNOLOGY PADA KOMPONEN MESIN PERTANIAN." Journal of Applied Agricultural Science and Technology 3, no. 1 (2019): 115–21. http://dx.doi.org/10.32530/jaast.v3i1.103.

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Penelitian ini bertujuan untuk melakukan analisa terhadap sistem pemindai 3D untuk komponen mesin peralatan pertanian menggunakan teknologi kinect. Pemanfaat teknologi kinect ini diharapkan mampu memindai dan mengambil gambar komponen-komponen mesin pertanian secara 3D. Analisa yang digunakan adalah untuk mengetahui tingkat akurasi kinect dalam memindai komponen mesin pertanian. Pemindai 3D ini menggunakan teknologi kinect sebagai sesor utama. Kinect terdiri dari sensor infra red, sensor depth image coms dan sensor color image CMOS. Semua sensor kinect memindai obyek secara 3D dan kemudian dip
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Dissertations / Theses on the topic "Sensor Kinect"

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Nordmark, Anton. "Kinect 3D Mapping." Thesis, Linköpings universitet, Datorseende, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85158.

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This is a master thesis of the Master of Science degree program in Applied Physics and Electrical Engineering at Linköping University. The goal of this thesis is to find out how the Microsoft Kinect can be used as a part of a camera rig to create accurate 3D-models of an indoor environment. The Microsoft Kinect is marketed as a touch free game controller for the Microsoft Xbox 360 game console. The Kinect contains a color and a depth camera. The depth camera works by constantly projecting a near infrared dot pattern that is observed with a near infrared camera. In this thesis it is described h
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Albrektsen, Sigurd Mørkved. "Using the Kinect Sensor for Social Robotics." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2011. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-13862.

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This thesis presents an innovative approach to social robotics through gesture recognition. The focus is on recognizing gestures because this is an important aspect regarding interpretation of a person's intent when he or she gives commands to a robot.The equipment used is a Kinect sensor, developed by Microsoft, attached to a moving platform. The Kinect communicates with software running on a PC through the OpenNI interface and uses the NITE middleware by PrimeSense.The results of this thesis are: - a broad literature study presenting the state of the art of gesture recognition - a sys
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Rafibakhsh, Nima. "Industrial Applications of Microsoft Xbox Kinect Sensor." Thesis, Southern Illinois University at Edwardsville, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1549815.

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<p> Sensing and site data acquisition are active areas of research for industrial applications, particularly, for construction engineering and management. A number of research initiatives around the globe are focused on noble sensing applications for managing site safety, productivity improvements, progress monitoring, site lay out planning, and for innovative approaches to supply chain management. Time of Flight (TOF) cameras and laser scanners are the tools of choice for real time and near real time decision making on jobsites. However, most of these applications are limited to academic rese
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Samini, Ali. "Large scale audience interaction with a Kinect sensor." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-75520.

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We present investigation and designing of a system that interacts with big audience, sitting in a dimmed theater environment. The goal is to automatically detect audiences and some of their actions. Test results indicate that because of low light condition we can’t rely on RGB camera footage in a dimmed environment. We use Microsoft Kinect Sensor to collect data from environment. Kinect is designed to be used with Microsoft Xbox 360 for gaming purposes. It has both RGB and Infrared depth camera. Change in amount of visible light doesn’t affect data from depth camera. Kinect is not a strong cam
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Lun, Roanna. "HUMAN ACTIVITY TRACKING AND RECOGNITION USING KINECT SENSOR." Cleveland State University / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=csu152825103669262.

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Brodd-Reijer, Christoffer. "Dance quantification with Kinect : Adjusting music volume by using depth data from a Kinect sensor." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-181928.

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Humans interact with computers in many various ways. Different interaction models are suited for different situations and tasks. This thesis explores the motion based interaction made possible by the Kinect for Windows device. A stand-alone library is built for interpreting, analyzing and quantifying movements in a room. It highlights the complexity in movement analysis in real time and discusses various algorithms for interpolation and filtering. The finished library is integrated into an existing music application by expanding its plugin system, allowing users to control the volume level of
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Meer, Naweed. "Environment Mapping with a Kinect Sensor using Industrial Robots." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-30966.

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When integrating an industrial robot to its working cell, an integrator often builds up the scene including the machines surrounding the robot in a virtual environment and performs the programming online. By introducing a precise and correct 3D model of the surroundings of the robot, the integrator must no longer go through the process of building up the environment. Using a low cost Kinect sensor mounted on an industrial robot, a series of 3D scans of the working environmentcan be acquired. By registering the 3D scans, the working environment can be mapped and the integrator can take advantag
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Fernández-Carrasco, Francisco. "TDAH: registro de movimiento objetivo con el sensor Kinect y variables psicoeducativas." Doctoral thesis, Universidad de Alicante, 2017. http://hdl.handle.net/10045/77191.

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Los problemas relacionados con el Trastorno por Déficit de Atención / Hiperactividad (TDAH) no sólo se originan de fuera de la comunidad científica, sino que también se han desarrollado dentro de la misma: múltiples dudas en referencia a la etiología, a la prevalencia, a los instrumentos y procedimientos de evaluación, etc. Y la clave de todos estos problemas reside en la falta de acuerdo en su diagnóstico. Así, al no existir ninguna condición bioquímica, estructural o genética que determine de forma inequívoca la existencia de TDAH, el diagnóstico es clínico, es decir, basado en la pericia pr
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Condotta, Isabella Cardoso Ferreira da Silva. "Automatic assess of growing-finishing pigs\' weight through depth image analysis." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-03082017-093143/.

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A method of continuously monitoring weight would aid producers by ensuring all pigs are gaining weight and increasing the precision of marketing pigs thus saving money. Electronically monitoring weight without moving the pigs to the scale would eliminate a stress-generating source. Therefore, the development of methods for monitoring the physical conditions of animals from a distance appears as a necessity for obtaining data with higher quality. In pigs\' production, animals\' weighing is a practice that represents an important role in the control of the factors that affect the performance of
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Barcaj, Adam. "Návrh dálkového ovládání mobilního robotu pomocí Microsoft Kinect." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2012. http://www.nusl.cz/ntk/nusl-230256.

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This diploma thesis deals with application of Microsoft Kinect sensor for remote control of mobile robot. The aim was design and implement methods for remote control of mobile robot with using of predefined gestures and these method practically tested.
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Books on the topic "Sensor Kinect"

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Ri Kōran no koibito: Kinema to sensō. Chikuma Shobō, 2007.

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Book chapters on the topic "Sensor Kinect"

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Ramakić, Adnan, and Amel Toroman. "People identification using Kinect sensor." In IFMBE Proceedings. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4166-2_41.

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Kepski, Michal, and Bogdan Kwolek. "Human Fall Detection Using Kinect Sensor." In Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00969-8_73.

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Saha, Sriparna, Amit Konar, and Ramadoss Janarthanan. "Two Person Interaction Detection Using Kinect Sensor." In Springer Proceedings in Mathematics & Statistics. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2301-6_13.

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Mehrotra, Kapil, Atul Godbole, and Swapnil Belhe. "Indian Sign Language Recognition Using Kinect Sensor." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20801-5_59.

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Cinque, Luigi, Alessandro Danani, Piercarlo Dondi, and Luca Lombardi. "Real-Time Foreground Segmentation with Kinect Sensor." In Image Analysis and Processing — ICIAP 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23234-8_6.

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Dias, Paulo, João Silva, Rafael Castro, and António J. R. Neves. "Detection of Aerial Balls Using a Kinect Sensor." In RoboCup 2014: Robot World Cup XVIII. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18615-3_44.

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Wang, Nianfeng, Guifeng Lin, and Xianmin Zhang. "Human Gait Analysis Method Based on Kinect Sensor." In Intelligent Robotics and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66645-3_41.

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Ting, Huong Yong, Kok Swee Sim, Fazly Salleh Abas, and Rosli Besar. "Vision-Based Human Gesture Recognition Using Kinect Sensor." In Lecture Notes in Electrical Engineering. Springer Singapore, 2014. http://dx.doi.org/10.1007/978-981-4585-42-2_28.

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Kepski, Michal, and Bogdan Kwolek. "Unobtrusive Fall Detection at Home Using Kinect Sensor." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40261-6_55.

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Wang, Nianfeng, Guifeng Lin, and Xianmin Zhang. "Human Gait Analysis Method Based on Kinect Sensor." In Intelligent Robotics and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66645-3_41.

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Conference papers on the topic "Sensor Kinect"

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Manna, Soumya K., and Venketesh N. Dubey. "Assessment of Joint Parameters in a Kinect Sensor Based Rehabilitation Game." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97519.

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Abstract A Kinect sensor based basketball game is developed for delivering post-stroke exercises in association with a newly developed elbow exoskeleton. Few interesting features such as audio-visual feedback and scoring have been added to the game platform to enhance patient’s engagement during exercises. After playing the game, the performance score has been calculated based on their reachable points and reaching time to measure their current health conditions. During exercises, joint parameters are measured using the motion capture technique of Kinect sensor. The measurement accuracy of Kin
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Topuz, Buse, Ersin Ozuag, and Orhan Akbulut. "Kinect sensor based physiotherapy management." In 2016 24th Signal Processing and Communication Application Conference (SIU). IEEE, 2016. http://dx.doi.org/10.1109/siu.2016.7496213.

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Duseev, Vagiz R., and Andrey N. Malchukov. "Kinect sensor depth data filtering." In 2014 International Conference on Mechanical Engineering, Automation and Control Systems (MEACS). IEEE, 2014. http://dx.doi.org/10.1109/meacs.2014.6986855.

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Sadhu, Arup Kumar, Sriparna Saha, Amit Konar, and Ramadoss Janarthanan. "Person identification using Kinect sensor." In 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC). IEEE, 2014. http://dx.doi.org/10.1109/ciec.2014.6959081.

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Petroniu, Mihai Andrei, Mihai Trascau, and Irina Mocanu. "Object Recognition with Kinect Sensor." In 2015 20th International Conference on Control Systems and Computer Science (CSCS). IEEE, 2015. http://dx.doi.org/10.1109/cscs.2015.127.

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Zhang, Mingshao, Zhou Zhang, El-Sayed Aziz, Sven K. Esche, and Constantin Chassapis. "Kinect-Based Universal Range Sensor for Laboratory Experiments." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62979.

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The Microsoft Kinect is part of a wave of new sensing technologies. Its RGB-D camera is capable of providing high quality synchronized video of both color and depth data. Compared to traditional 3-D tracking techniques that use two separate RGB cameras’ images to calculate depth data, the Kinect is able to produce more robust and reliable results in object recognition and motion tracking. Also, due to its low cost, the Kinect provides more opportunities for use in many areas compared to traditional more expensive 3-D scanners. In order to use the Kinect as a range sensor, algorithms must be de
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Bostanci, Erkan, Nadia Kanwal, and Adrian F. Clark. "Extracting planar features from Kinect sensor." In 2012 4th Computer Science and Electronic Engineering Conference (CEEC). IEEE, 2012. http://dx.doi.org/10.1109/ceec.2012.6375388.

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Jo, HyungGi, Sungjin Jo, Euntai Kim, Changyong Yoon, and Sewoong Jun. "3D FastSLAM algorithm with Kinect sensor." In 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS). IEEE, 2014. http://dx.doi.org/10.1109/scis-isis.2014.7044862.

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Engstrom, Philip, Maria Axelsson, and Mikael Karlsson. "Microsoft Kinect for THz Sensor Management." In 3rd International Conference on 3D Body Scanning Technologies, Lugano, Switzerland, 16-17 October 2012. Hometrica Consulting - Dr. Nicola D'Apuzzo, 2012. http://dx.doi.org/10.15221/12.311.

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Kircali, D., F. Boray Tek, and I. K. Iyidir. "Ground Plane Detection using Kinect sensor." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531356.

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