Results 31 to 40 of about 779 (138)

EVALUATION AND COMPARISON OF DIFFERENT TIME OF FLIGHT CAMERAS FOR OUTDOOR APPLICATIONS [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Time-of-Flight (ToF) cameras have gained prominence in robotics, augmented reality, and gesture recognition due to their costeffective direct measurement of 3D environments.
Z. Qiu   +3 more
doaj   +1 more source

Evaluation of Depth Cameras for Use in Fruit Localization and Sizing: Finding a Successor to Kinect v2

open access: yesAgronomy, 2021
Eight depth cameras varying in operational principle (stereoscopy: ZED, ZED2, OAK-D; IR active stereoscopy: Real Sense D435; time of flight (ToF): Real Sense L515, Kinect v2, Blaze 101, Azure Kinect) were compared in context of use for in-orchard fruit ...
Chiranjivi Neupane   +3 more
doaj   +1 more source

Reliability and agreement of Azure Kinect and Kinect v2 depth sensors in the shoulder joint range of motion estimation

open access: yesJournal of Shoulder and Elbow Surgery, 2022
Depth sensor-based motion analysis systems are of interest to researchers with low cost, fast analysis capabilities, and portability; thus, their reliability is a matter of interest. Our study examined the agreement and reliability in estimating the basic shoulder movements of Azure Kinect, Microsoft's state-of-the-art depth sensor, and its predecessor,
Umut Özsoy   +4 more
openaire   +3 more sources

3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js [PDF]

open access: yes2020 International Conference on Information and Communication Technology Convergence (ICTC), 2020
This paper proposes a method of extracting an RGB-D image usingAzure Kinect, a depth camera, creating afragment,i.e., 6D images (RGBXYZ), usingOpen3D, creatingit as a point cloud object, and implementing webVR usingthree.js. Furthermore, it presents limitations and potentials for development.
Won Joon Yun, Joongheon Kim
openaire   +2 more sources

Reliability of 3D Depth Motion Sensors for Capturing Upper Body Motions and Assessing the Quality of Wheelchair Transfers

open access: yesSensors, 2022
Wheelchair users must use proper technique when performing sitting-pivot-transfers (SPTs) to prevent upper extremity pain and discomfort. Current methods to analyze the quality of SPTs include the TransKinect, a combination of machine learning (ML ...
Alicia Marie Koontz   +6 more
doaj   +1 more source

AKFruitData: A dual software application for Azure Kinect cameras to acquire and extract informative data in yield tests performed in fruit orchard environments

open access: yesSoftwareX, 2022
The emergence of low-cost 3D sensors, and particularly RGB-D cameras, together with recent advances in artificial intelligence, is currently driving the development of in-field methods for fruit detection, size measurement and yield estimation.
Juan Carlos Miranda   +3 more
doaj   +1 more source

Toward physically realistic vision in teleoperation: A user study with light‐field head mounted display and 6‐DoF head motion

open access: yesJournal of the Society for Information Display, Volume 31, Issue 12, Page 663-674, December 2023., 2023
The presented study with light‐field acquisition and rendering was conducted with n=28 test‐subjects performing a tele‐robotic depth matching task based on a 2.5D visualization of the robotic environment. Light‐field: The user study showed that light‐field (LF) head‐mounted displays reduce workload.
Nicolai Bechtel   +5 more
wiley   +1 more source

The HA4M dataset: Multi-Modal Monitoring of an assembly task for Human Action recognition in Manufacturing

open access: yesScientific Data, 2022
Measurement(s) human actions in manufacturing context Technology Type(s) Microsoft Azure Kinect ...
Grazia Cicirelli   +6 more
doaj   +1 more source

Vision‐audio fusion SLAM in dynamic environments

open access: yesCAAI Transactions on Intelligence Technology, Volume 8, Issue 4, Page 1364-1373, December 2023., 2023
Abstract Moving humans, agents, and subjects bring many challenges to robot self‐localisation and environment perception. To adapt to dynamic environments, SLAM researchers typically apply several deep learning image segmentation models to eliminate these moving obstacles.
Tianwei Zhang, Huayan Zhang, Xiaofei Li
wiley   +1 more source

A comprehensive analysis of sit‐to‐stand movement in a living space involving principal component analysis

open access: yesJAPAN ARCHITECTURAL REVIEW, Volume 6, Issue 1, January–December 2023., 2023
Abstract Sit‐to‐stand (STS) movement is a frequently performed activity of daily living. The analysis of STS movement can lead to the early detection of a decline in physical functioning. There is thus interest in home‐based STS monitoring systems. The present study (1) extracted universal differences by age group in common STS movements of daily life ...
Naohiro Haraguchi, Ami Ogawa, Akira Mita
wiley   +1 more source

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