Microsoft Kinect Sensor Technology and its Methods
DOI:
https://doi.org/10.37591/joosdt.v1i1.25Abstract
Kinect is a technology that is capable of motion tracking and sensing. Kinect plays a unique role in the study of identification. Its unique properties of being able to identify the objects are performed with a sensor. Kinect Sensors track objects based on the color and data. Kinect sensors have been developed overtime for tracking various actions and postures. Improvisations are inhibited within the technology based on identity, digitization, alpha channels, depth of color and sensors in Autism research. Major concepts in Kinect and their enhancements are surveyed in this paper.
Keywords: Kinect, sensor, tracking, color data, depth data
References
Wenjun Zeng, Microsoft Kinect Sensor and its Effect.In IEEE Computer Society, 2012;19(2): 1070–986p.
Chao Sun, Tianzhu Zhang, bing-kun Bao, et al. Discriminative Exemplar Coding for Sign Language recognition with Kinect. In IEEE Transaction on Cybernetics, 2013;43(5): 2168–2267p.
Digan Um, Dongseok Ryu, and Myungjoon Kal, Multiple Intensity Differentiation for 3D surface reconstruction with Mono-Vision Infrared Proximity Array Sensor. In IEEE Sensor Journal, 2011; 11(12): 1530p.
Zhou Ren, Junsong Yuan, and Zhengyou Zhnag, et al. Robust Part- Based Hand Gesture Recognition Using Kinect Sensor. In IEEE Transactions on Multimedia, 2013;15(5):1520–910p.
Jing Tong, Jin Zhonu, ligang Liu and Hao Yan et al. Scanning 3D Full Human Bodies Using Kinects. In IEEE Transactions on Visualization and Computer Grapics, 2012; 18 (4): 1077–2626p.
Tommer Leyvand, casey Meekhof, Yi-Chen Wei, et al. Kinect Identity: Technology and Experiemce. In IEEE Computer Society, 2011 ; 44(4): 0018–9162p.
Justin Clark, Object Digitization for Everyone. In IEEE Computer Society, 2011;44(10):0018–9162p.
Dimitrios S. Alexiadis, Dimitrios Zarpalas, and Petros Daras, Real Time, Full 3D Reconstruction of Moving Foreground Objects from Multiple Consumer Depth Cameras. In IEEE Transaction on Multimedia, 2013;15(2): 1520–9210p.
Danial Herrera C., Juho Kannala, and Janne Heikkila, Joint Depth and Color Camera Calibration with Distortion Correction. In IEEE transactions and Pattern Analysis and Machine Intelligence,2012;.34(10):0162–828p.
Ji-Ho Cho, Kwan H. Lee, and Kiyoharu Aizawa, Enhancement of Depth Maps with Alpha Channel Estimation for 3D Video. In IEEE Journal of Selected Topics in Signal Processing, 2012; 6 (5):1932–4553p.
Jeff Munson and Phillip Pasqual, Using Technology in autism Research: The Promise and the Perils. In IEEE Computer Society, 2012; 0018(9162):89–91p.
Antonio Frisoli, Claudio Loconsole, Daniele Leonardis, et al. A New Gaze-BCI-Driven Control of an Upper Limb Exoskeleton for Rehabilitation in Real-
World Task. In IEEE Transactions on Systems, Man and Cybernetics-Part C: Applications and Reviews, 2012; 42(6): 1094–6977p.
Carlo Dal Mutto, Pietro Zanuttigh, and Guido M.Cortelazzo, Fusion of Geometry and Color Information For Scene Segmentation. In IEEE Journal of Selected Topics in Signal Processing, 2012; 6(5):1932–4553p.
Jingjing Fu, Dan Miao, weiren Yu, et al. Kinect-Like Depth Data Compression. In IEEE Transaction on Multimedia, 2013; 15 (6):1520–9210p.
Xiaopeng Ning and Guodong Guo, Assessing Spinal Loading using the Kinect Depth Sensor: A Feasibility Study. In IEEE Sensors Journal, 2013; 13(4):1530–437p.
Antony Steed, William Steptoe, Wole Oyekoya, et al. Beaming: An Asymmetric Telepresence System. In IEEE Computer Society, 2012; 32(6): 0272–1716p.
John Solaro, The Kinect Digital Out-of-Box Experience. In IEEE Computer Society, 2011; 44(6): 0018–9162p.
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