Article

Performance measurements for the Microsoft Kinect skeleton

Authors:

Mark A. Livingston,

Jay Sebastian,

Zhuming Ai,

Jonathan W. DeckerAuthors Info & Claims

VR '12: Proceedings of the 2012 IEEE Virtual Reality

Pages 119 - 120

https://doi.org/10.1109/VR.2012.6180911

Published: 04 March 2012 Publication History

Abstract

The Microsoft Kinect for Xbox 360 ("Kinect") provides a convenient and inexpensive depth sensor and, with the Microsoft software development kit, a skeleton tracker (Figure 2). These have great potential to be useful as virtual environment (VE) control interfaces for avatars or for viewpoint control. In order to determine its suitability for our applications, we devised and conducted tests to measure standard performance specifications for tracking systems. We evaluated the noise, accuracy, resolution, and latency of the skeleton tracking software. We also measured the range in which the person being tracked must be in order to achieve these values.

Cited By

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Desai KPrabhakaran BRaghuraman SCesar PZink MMurray N(2018)Skeleton-based continuous extrinsic calibration of multiple RGB-D kinect camerasProceedings of the 9th ACM Multimedia Systems Conference10.1145/3204949.3204969(250-257)Online publication date: 12-Jun-2018
https://dl.acm.org/doi/10.1145/3204949.3204969
Reinhardt DHurtienne JFernaeus YMcMillan DJonsson MGirouard ATholander J(2018)The Impact of Tangible Props on Gaming Performance and Experience in Gestural InteractionProceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3173225.3173258(638-646)Online publication date: 18-Mar-2018
https://dl.acm.org/doi/10.1145/3173225.3173258
Mishra ASkubic MWillis BGuess TRazu SAbbott CGray AOliver NCzerwinski M(2017)Examining methods to estimate static body sway from the Kinect V2.0 skeletal dataProceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3154862.3154874(127-135)Online publication date: 23-May-2017
https://dl.acm.org/doi/10.1145/3154862.3154874
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Published In

VR '12: Proceedings of the 2012 IEEE Virtual Reality

March 2012

225 pages

ISBN:9781467312479

Publisher

IEEE Computer Society

United States

Publication History

Published: 04 March 2012

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Desai KPrabhakaran BRaghuraman SCesar PZink MMurray N(2018)Skeleton-based continuous extrinsic calibration of multiple RGB-D kinect camerasProceedings of the 9th ACM Multimedia Systems Conference10.1145/3204949.3204969(250-257)Online publication date: 12-Jun-2018
https://dl.acm.org/doi/10.1145/3204949.3204969
Reinhardt DHurtienne JFernaeus YMcMillan DJonsson MGirouard ATholander J(2018)The Impact of Tangible Props on Gaming Performance and Experience in Gestural InteractionProceedings of the Twelfth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3173225.3173258(638-646)Online publication date: 18-Mar-2018
https://dl.acm.org/doi/10.1145/3173225.3173258
Mishra ASkubic MWillis BGuess TRazu SAbbott CGray AOliver NCzerwinski M(2017)Examining methods to estimate static body sway from the Kinect V2.0 skeletal dataProceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare10.1145/3154862.3154874(127-135)Online publication date: 23-May-2017
https://dl.acm.org/doi/10.1145/3154862.3154874
Lv DHuang ZSun LYu NWu J(2017)Smart motion reconstruction system for golf swingMultimedia Tools and Applications10.1007/s11042-015-3102-776:1(1313-1330)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.1007/s11042-015-3102-7
Rosa-Pujazón ABarbancho ITardón LBarbancho A(2016)Fast-gesture recognition and classification using KinectMultimedia Tools and Applications10.1007/s11042-015-2729-875:14(8137-8164)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.1007/s11042-015-2729-8
Erazo OPino JBrdiczka OChau PCarenini GPan SKristensson P(2015)Predicting Task Execution Time on Natural User Interfaces based on Touchless Hand GesturesProceedings of the 20th International Conference on Intelligent User Interfaces10.1145/2678025.2701394(97-109)Online publication date: 18-Mar-2015
https://dl.acm.org/doi/10.1145/2678025.2701394
Yun YFu KGu IAghajan HYang JPrati AMartinel N(2014)Human Activity Recognition in Images using SVMs and Geodesics on Smooth ManifoldsProceedings of the International Conference on Distributed Smart Cameras10.1145/2659021.2659063(1-6)Online publication date: 4-Nov-2014
https://dl.acm.org/doi/10.1145/2659021.2659063
Gross RBockholt UBiersack EKuijper A(2013)Multimodal kinect-supported interaction for visually impaired usersProceedings of the 7th international conference on Universal Access in Human-Computer Interaction: design methods, tools, and interaction techniques for eInclusion - Volume Part I10.1007/978-3-642-39188-0_54(500-509)Online publication date: 21-Jul-2013
https://dl.acm.org/doi/10.1007/978-3-642-39188-0_54

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Human-Machine Interaction based on Hand Gesture Recognition using Skeleton Information of Kinect Sensor

Gesture Recognition by Using Kinect Skeleton Tracking System

Remote Gaze and Gesture Tracking on the Microsoft Kinect: Investigating the Role of Feedback

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