Results 21 to 30 of about 32,305 (183)

MEASURING NUT VOLUMES USING THE AZURE KINECT [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022
Rapid and accurate nut count and volume measurement techniques are critical for nut production and its automation. In this work, a three-dimensional (3D) depth camera, the Azure Kinect, was used to measure the volume of the nuts, along with our proposed ...
X. Peng, T. O. Chan, T. O. Chan
doaj   +3 more sources

Use of the Azure Kinect to measure foot clearance during obstacle crossing: A validation study [PDF]

open access: yesPLoS ONE, 2022
Obstacle crossing is typical adaptive locomotion known to be related to the risk of falls. Previous conventional studies have used elaborate and costly optical motion capture systems, which not only represent a considerable expense but also require ...
Kohei Yoshimoto, Masahiro Shinya
doaj   +3 more sources

Real-Time Current Volume Estimation System from an Azure Kinect Camera in Pediatric Intensive Care: Technical Development. [PDF]

open access: yesSensors (Basel)
Monitoring respiratory parameters is essential in pediatric intensive care units (PICUs), yet bedside tidal volume (Vt) measurement is rarely performed due to the need for invasive airflow sensors.
Chavernac F   +5 more
europepmc   +2 more sources

The Feasibility of RGB-D Gaze Intention Measurement in Children with Autism Using Azure Kinect. [PDF]

open access: yesBioengineering (Basel)
Gaze interpretation is a fundamental aspect of social communication, especially for children with autism spectrum disorder (ASD), who frequently encounter many difficulties in social interactions.
Bendimered A   +6 more
europepmc   +2 more sources

Non-Contact Fatigue Estimation in Healthy Individuals Using Azure Kinect: Contribution of Multiple Kinematic Features. [PDF]

open access: yesSensors (Basel)
Monitoring exercise-induced fatigue is important for maintaining the effectiveness of training and preventing injury. We evaluated a non-contact approach that estimates perceived fatigue from full-body kinematics captured by an Azure Kinect depth camera.
Yamada T, Kondo K.
europepmc   +2 more sources

Performance of Microsoft Azure Kinect DK as a tool for estimating human body segment lengths. [PDF]

open access: yesSci Rep
The Microsoft Kinect depth sensor, with its built-in software that automatically captures joint coordinates without markers, could be a potential tool for ergonomic studies.
Wang SA, Lu MH, Lee AT, Chen CY, Lee LW.
europepmc   +2 more sources

Evaluating Automatic Body Orientation Detection for Indoor Location from Skeleton Tracking Data to Detect Socially Occupied Spaces Using the Kinect v2, Azure Kinect and Zed 2i [PDF]

open access: yesSensors, 2022
Analysing the dynamics in social interactions in indoor spaces entails evaluating spatial–temporal variables from the event, such as location and time.
Violeta Ana Luz Sosa-León   +1 more
doaj   +2 more sources

A Novel Approach to Optimize Key Limitations of Azure Kinect DK for Efficient and Precise Leaf Area Measurement

open access: yesAgriculture
Maize leaf area offers valuable insights into physiological processes, playing a critical role in breeding and guiding agricultural practices. The Azure Kinect DK possesses the real-time capability to capture and analyze the spatial structural features ...
Ziang Niu   +6 more
doaj   +2 more sources

Estimation of human body 3D pose for parent-infant interaction settings using azure Kinect and OpenPose. [PDF]

open access: yesMethodsX
Automatic pose estimation has become a valuable tool for the study of human behavior, including dyadic interactions. It allows researchers to analyze the nuanced dynamics of interactions more effectively, and facilitates the integration of behavioral ...
Diaz-Rojas F, Myowa M.
europepmc   +2 more sources

Immature Green Apple Detection and Sizing in Commercial Orchards Using YOLOv8 and Shape Fitting Techniques

open access: yesIEEE Access
Detecting and estimating size of apples during the early stages of growth is crucial for predicting yield, pest management, and making informed decisions related to crop-load management, harvest and post-harvest logistics, and marketing.
Ranjan Sapkota   +3 more
doaj   +3 more sources

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