Cater: Combined animal tracking & environment reconstruction
Quantifying the behavior of small animals traversing long distances in complex
environments is one of the most difficult tracking scenarios for computer vision. Tiny and low …
environments is one of the most difficult tracking scenarios for computer vision. Tiny and low …
[HTML][HTML] Biomarker discovery using machine learning in the psychosis spectrum
The past decade witnessed substantial discoveries related to the psychosis spectrum. Many
of these discoveries resulted from pursuits of objective and quantifiable biomarkers in …
of these discoveries resulted from pursuits of objective and quantifiable biomarkers in …
Simple Behavioral Analysis (SimBA) as a platform for explainable machine learning in behavioral neuroscience
The study of complex behaviors is often challenging when using manual annotation due to
the absence of quantifiable behavioral definitions and the subjective nature of behavioral …
the absence of quantifiable behavioral definitions and the subjective nature of behavioral …
DeepBhvTracking: a novel behavior tracking method for laboratory animals based on deep learning
G Sun, C Lyu, R Cai, C Yu, H Sun… - Frontiers in behavioral …, 2021 - frontiersin.org
Behavioral measurement and evaluation are broadly used to understand brain functions in
neuroscience, especially for investigations of movement disorders, social deficits, and …
neuroscience, especially for investigations of movement disorders, social deficits, and …
[HTML][HTML] Deep learning-based activity recognition and fine motor identification using 2D skeletons of cynomolgus monkeys
C Li, Z **ao, Y Li, Z Chen, X Ji, Y Liu, S Feng… - Zoological …, 2023 - ncbi.nlm.nih.gov
Video-based action recognition is becoming a vital tool in clinical research and
neuroscientific study for disorder detection and prediction. However, action recognition …
neuroscientific study for disorder detection and prediction. However, action recognition …
Development of a 3D tracking system for multiple marmosets under free-moving conditions
T Yurimoto, W Kumita, K Sato, R Kikuchi, G Oka… - Communications …, 2024 - nature.com
Assessment of social interactions and behavioral changes in nonhuman primates is useful
for understanding brain function changes during life events and pathogenesis of …
for understanding brain function changes during life events and pathogenesis of …
Equine kinematic gait analysis using stereo videography and deep learning: stride length and stance duration estimation
Highlights Stereo machine vision and deep learning techniques were investigated for infield
equine kinematic gait analysis. The proposed pipeline tracks equine body landmarks in 3D …
equine kinematic gait analysis. The proposed pipeline tracks equine body landmarks in 3D …
Innovate Spatial-Temporal Attention Network (STAN) for Accurate 3D Mice Pose Estimation with a Single Monocular RGB Camera
Precise 3D pose estimation of mice holds crucial importance across various scientific
domains. In this research, we introduce an innovative model named the Spatial-Temporal …
domains. In this research, we introduce an innovative model named the Spatial-Temporal …
Estimation of equine stride length and stance duration using stereo 3d videography and deep learning
Pose estimation is critical in equine gait analysis (EGA). Many existing methods rely on
veterinarians' visual assessments or motion capture equipment, which are either subjective …
veterinarians' visual assessments or motion capture equipment, which are either subjective …
Visual navigation in ants: behavioural and modelling approach
L Clément - 2023 - theses.hal.science
Navigation in natural environments is an essential ability for animals, but it can be highly
challenging to achieve due to the complex, ever-changing, nature of the environment they …
challenging to achieve due to the complex, ever-changing, nature of the environment they …