Disentangling rodent behaviors to improve automated behavior recognition
Frontiers in Neuroscience, 2023 Automated observation and analysis of behavior is important to facilitate progress in many fields of science. Recent developments in deep learning have enabled progress in object detection and tracking, but rodent behavior recognition struggles to exceed
Elsbeth A. Van Dam +4 more
doaj +6 more sources
Classroom Behavior Recognition Using Computer Vision: A Systematic Review. [PDF]
Sensors (Basel)Behavioral computing based on visual cues has become increasingly important, as it can capture and annotate teachers’ and students’ classroom states on a large scale and in real time.
Liu Q, Jiang X, Jiang R.
europepmc +2 more sources
An intelligent humidity sensing system for human behavior recognition. [PDF]
Microsyst NanoengAn intelligent humidity sensing system has been developed for real-time monitoring of human behaviors through respiration detection. The key component of this system is a humidity sensor that integrates a thermistor and a micro-heater.
Yang H +7 more
europepmc +2 more sources
A Visual Trajectory-Based Method for Personnel Behavior Recognition in Industrial Scenarios [PDF]
SensorsAccurate recognition of personnel behavior in industrial environments is essential for asset protection and workplace safety, yet complex environmental conditions pose a significant challenge to its accuracy.
Houquan Wang +5 more
doaj +2 more sources
Teacher–Student Behavior Recognition in Classroom Teaching Based on Improved YOLO-v4 and Internet of Things Technology [PDF]
Electronics, 2022 Based on the classroom teaching scenarios, an improved YOLO-v4 behavior detection algorithm is proposed to recognize the behaviors of teachers and students.
Henghuai Chen, Jiansheng Guan
openalex +2 more sources
S_T_Mamba: A Novel Jinnan Calf Diarrhea Behavior Recognition Model Based on Sequence Tree Mamba [PDF]
AnimalsThe efficient and precise recognition of diarrhea-related behaviors in Jinnan calves is crucial for ensuring their healthy development. Nevertheless, conventional behavior recognition techniques are often limited by a notable decline in performance when ...
Wangli Hao +7 more
doaj +2 more sources
FSCA-YOLO: An Enhanced YOLO-Based Model for Multi-Target Dairy Cow Behavior Recognition [PDF]
AnimalsIn real-world dairy farming environments, object recognition models often suffer from missed or false detections due to complex backgrounds and cow occlusions.
Ting Long +5 more
doaj +2 more sources
A new dataset for video-based cow behavior recognition. [PDF]
Sci RepA new video based multi behavior dataset for cows, CBVD-5, is introduced in this paper. The dataset includes five cow behaviors: standing, lying down, foraging,rumination and drinking.
Li K, Fan D, Wu H, Zhao A.
europepmc +2 more sources
Making Activity Recognition Robust against Deceptive Behavior
PLOS ONE, 2015 Healthcare services increasingly use the activity recognition technology to track the daily activities of individuals. In some cases, this is used to provide incentives. For example, some health insurance companies offer discount to customers who are physically active, based on the data collected from their activity tracking devices.
Sohrab Saeb +2 more
openalex +5 more sources
UHF RFID Sensing for Dynamic Tag Detection and Behavior Recognition: A Multi-Feature Analysis and Dual-Path Residual Network Approach [PDF]
SensorsTo address the challenges of dynamic coupling interference and time-frequency feature degradation in current approaches to Ultra-High-Frequency Radio-Frequency Identification (UHF RFID) behavior recognition, this study proposes a novel behavior ...
Honggang Wang +5 more
doaj +2 more sources