Results 31 to 40 of about 779 (138)
EVALUATION AND COMPARISON OF DIFFERENT TIME OF FLIGHT CAMERAS FOR OUTDOOR APPLICATIONS [PDF]
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
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
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]
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
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
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
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
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
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
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

