Results 81 to 90 of about 21,489 (203)

A Deep Learning Model for Markerless Pose Estimation Based on Keypoint Augmentation: What Factors Influence Errors in Biomechanical Applications?

open access: yesSensors
In biomechanics, movement is typically recorded by tracking the trajectories of anatomical landmarks previously marked using passive instrumentation, which entails several inconveniences.
Ana V. Ruescas-Nicolau   +5 more
doaj   +1 more source

Using Computer Vision Technologies to Make the Virtual Visible [PDF]

open access: yes, 2011
Mobile Life CentreMobile 2.
Büttner, Sebastian   +4 more
core   +1 more source

Reliability, agreement and variability of a markerless computer vision algorithm for equine gait analysis under field conditions

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Computer vision‐based algorithms offer accessible alternatives for equine gait analysis but require thorough assessment under diverse conditions. Objectives To evaluate a proprietary vision‐based algorithm's reliability in measuring vertical displacement signals (VDS) at the eye, withers and croup, alongside groundline estimation ...
Karsten Key   +4 more
wiley   +1 more source

Evaluating the Reliability and Consistency of Treadmill Gait Analysis Using an RGB-D Camera: Effects of Assistance and No Assistance

open access: yesSensors
This study aimed to assess the intraday reliability of markerless gait analysis using an RGB-D camera versus a traditional three-dimensional motion analysis (3DMA) system with and without a simulated walking assistant.
Yuichiro Hosoi   +2 more
doaj   +1 more source

Controlling a remotely located Robot using Hand Gestures in real time: A DSP implementation

open access: yes, 2017
Telepresence is a necessity for present time as we can't reach everywhere and also it is useful in saving human life at dangerous places. A robot, which could be controlled from a distant location, can solve these problems.
Chaudhary, Ankit   +2 more
core   +1 more source

Ontogeny of escape response and body shape in threespine stickleback (Gasterosteus aculeatus L.)

open access: yesJournal of Fish Biology, EarlyView.
Abstract Escape responses in fishes provide insight into accelerative motions and behavioural response times of these animals, linking numerous fitness‐related traits. We sought to connect escape response performance to genotype and phenotype across ontogenetic stages within a single population of threespine stickleback (Gasterosteus aculeatus L.) to ...
Aspen M. Kozak   +4 more
wiley   +1 more source

MOMA: Visual Mobile Marker Odometry

open access: yes, 2017
In this paper, we present a cooperative odometry scheme based on the detection of mobile markers in line with the idea of cooperative positioning for multiple robots [1].
Acuna, Raul   +2 more
core   +1 more source

Markerless motion capture of man-machine interaction

open access: yes2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008
This work deals with modeling and markerless tracking of athletes interacting with sports gear. In contrast to classical markerless tracking, the interaction with sports gear comes along with joint movement restrictions due to additional constraints: while humans can generally use all their joints, interaction with the equipment imposes a coupling ...
Rosenhahn, B.   +5 more
openaire   +2 more sources

rTCT: Rodent Triangle Completion Task to Facilitate Reverse Translational Study of Path Integration

open access: yesHippocampus, Volume 36, Issue 3, May 2026.
ABSTRACT Path integration is navigation in the absence of environmental landmarks and is a primary cognitive mechanism underlying spatial memory. Path integration performance is primarily assessed in humans using the Triangle Completion Task (TCT). In humans, TCT has shown promise for the early diagnosis of Alzheimer's disease.
Stephen Duncan   +13 more
wiley   +1 more source

Real-Time Human Motion Capture with Multiple Depth Cameras

open access: yes, 2016
Commonly used human motion capture systems require intrusive attachment of markers that are visually tracked with multiple cameras. In this work we present an efficient and inexpensive solution to markerless motion capture using only a few Kinect sensors.
Little, James J., Shafaei, Alireza
core   +1 more source

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