Results 1 to 10 of about 55,155 (207)
Evaluating the Accuracy of the Azure Kinect and Kinect v2
Sensors, 2022 The Azure Kinect represents the latest generation of Microsoft Kinect depth cameras. Of interest in this article is the depth and spatial accuracy of the Azure Kinect and how it compares to its predecessor, the Kinect v2.
Gregorij Kurillo
exaly +5 more sources
Kinect range sensing: Structured-light versus Time-of-Flight Kinect [PDF]
Computer Vision and Image Understanding, 2015 Recently, the new Kinect One has been issued by Microsoft, providing the next generation of real-time range sensing devices based on the Time-of-Flight (ToF) principle. As the first Kinect version was using a structured light approach, one would expect various differences in the characteristics of the range data delivered by both devices.
Hamed Sarbolandi +2 more
exaly +4 more sources
Leonardo, 2015 The authors describe a gesturally controlled improvisation system for an experimental pianist, developed over several laboratory sessions and used during a performance at the 2011 conference on New Interfaces for Musical Expression (NIME). They discuss the architecture and performative advantages and limitations of the system, and reflect on the ...
Gillian, Nicholas, Nicolls, Sarah
openaire +7 more sources
Evaluation of the Azure Kinect and Its Comparison to Kinect V1 and Kinect V2 [PDF]
Sensors, 2021 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.
Michal Tölgyessy +3 more
doaj +3 more sources
Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect [PDF]
Applied Sciences (Switzerland), 2021 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,
Martin Dekan, Ľuboš Chovanec, Michal
exaly +3 more sources
Validity of the Kinect for Gait Assessment: A Focused Review
Sensors, 2016 Gait analysis may enhance clinical practice. However, its use is limited due to the need for expensive equipment which is not always available in clinical settings.
Shmuel Springer
exaly +3 more sources
Stability of Kinect for range of motion analysis in static stretching exercises. [PDF]
PLoS ONE, 2018 Physical rehabilitation aims people with physical impairments to enhance and restore their functional ability. The Microsoft Kinect v1 and v2 technologies apply depth information and machine vision techniques to generate 3D coordinates of a set of ...
Fatemeh Mortazavi, Ali Nadian-Ghomsheh
doaj +1 more source
Investigating the impact of a motion capture system on Microsoft Kinect v2 recordings: A caution for using the technologies together. [PDF]
PLoS ONE, 2018 Microsoft Kinect sensors are considered to be low-cost popular RGB-D sensors and are widely employed in various applications. Consequently, several studies have been conducted to evaluate the reliability and validity of Microsoft Kinect sensors, and ...
MReza Naeemabadi +3 more
doaj +1 more source
BMC Geriatrics, 2023 Background With concerns about accurate diagnosis through telehealth, the Kinect sensor offers a reliable solution for movement analysis. However, there is a lack of practical research investigating the suitability of a Kinect-based system as a ...
Xin-Ting Liu +6 more
doaj +1 more source
RGB-D FACE RECOGNITION USING LBP-DCT ALGORITHM [PDF]
Applied Computer Science, 2021 Face recognition is one of the applications in image processing that recognizes or checks an individual's identity. 2D images are used to identify the face, but the problem is that this kind of image is very sensitive to changes in lighting and various
Sunil Kumar B L, Sharmila Kumari M
doaj +1 more source