Results 41 to 50 of about 8,471,988 (352)
Human action recognition has attracted considerable research attention in the field of computer vision, especially for classroom environments. However, most relevant studies have focused on one specific behavior of students.
Feng-Cheng Lin +4 more
semanticscholar +1 more source
Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion
Cognitive impairment is a feature of many psychiatric diseases. Here the authors aimed to identify multimodal neuromarkers that can be used to quantify and predict cognitive performance in individuals with schizophrenia using three different features of ...
Jing Sui +24 more
doaj +1 more source
Automated Behavior Recognition and Tracking of Group-Housed Pigs with an Improved DeepSORT Method
Pig behavior recognition and tracking in group-housed livestock are effective aids for health and welfare monitoring in commercial settings. However, due to demanding farm conditions, the targets in the pig videos are heavily occluded and overlapped, and
S. Tu +6 more
semanticscholar +1 more source
Automated Robot Behavior Recognition [PDF]
Automated recognition of the behavior of robots is increasingly needed in a variety of tasks, as we develop more autonomous robots and general information processing agents. For example, in environments with multiple autonomous robots, a robot may need to make decisions based on the behavior of the other robots.
Kwun Han, Manuela Veloso
openaire +1 more source
Efficient Human Behavior Recognition Method of CSI Based on Multi-antenna Judgment
Human motion and behavior analysis has become a new research field in pervasive computing. Aiming at the problems of high cost and low accuracy of current behavior identification methods, an efficient method MADR (multi-antenna joint decision efficient ...
TAO Zhiyong, GUO Jing, LIU Ying
doaj +1 more source
PublicVision: A Secure Smart Surveillance System for Crowd Behavior Recognition
Crowd behavior recognition plays a critical role in various domains, including public safety, event management, and urban planning. Understanding crowd dynamics and detecting behaviors based on violence levels are crucial for preventing incidents and ...
Marwa K. Qaraqe +7 more
semanticscholar +1 more source
A Review for the Driving Behavior Recognition Methods Based on Vehicle Multisensor Information
The frequent traffic accidents lead to a large number of casualties and large related financial losses every year; this serious state is owed to several factors; among those, driving behavior is one of the most imperative subjects to discuss.
Dengfeng Zhao +4 more
semanticscholar +1 more source
Background Social behavior and social organization have major influences on individual health and fitness. Yet, biomedical research focuses on studying a few genotypes under impoverished social conditions.
Caleb C. Vogt +10 more
doaj +1 more source
ABSTRACT Secondary hyperparathyroidism (SHPT) is a common complication in patients receiving maintenance dialysis, driven by calcium and phosphate metabolism disturbances. Calcimimetics are central to the management of SHPT by enhancing calcium‐sensing receptor sensitivity and reducing parathyroid hormone secretion.
Fumihiko Koiwa +3 more
wiley +1 more source
Scaling-up Behavioral Observation with Computational Behavior Recognition
Behavioral observation is an important tool for research and practice in clinical, developmental, and social psychology. Traditional,expert-based methods for behavioral observation from videos are limited by the amount of time and resources it requires.
Nicole Nadine Lønfeldt +5 more
openaire +1 more source

