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Tracking and Behavior Analysis of Group-Housed Pigs Based on a Multi-Object Tracking Approach.
Animals (Basel)
September 2024
College of Mathematics and Informatics, South China Agricultural University, Guangzhou 510642, China.
Smart farming technologies to track and analyze pig behaviors in natural environments are critical for monitoring the health status and welfare of pigs. This study aimed to develop a robust multi-object tracking (MOT) approach named YOLOv8 + OC-SORT(V8-Sort) for the automatic monitoring of the different behaviors of group-housed pigs. We addressed common challenges such as variable lighting, occlusion, and clustering between pigs, which often lead to significant errors in long-term behavioral monitoring.
View Article and Find Full Text PDFPen-drawn Marangoni swimmer.
Nat Commun
June 2023
Department of Materials Science and Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea.
Pen-drawing is an intuitive, convenient, and creative fabrication method for delivering emergent and adaptive design to real devices. To demonstrate the application of pen-drawing to robot construction, we developed pen-drawn Marangoni swimmers that perform complex programmed tasks using a simple and accessible manufacturing process. By simply drawing on substrates using ink-based Marangoni fuel, the swimmers demonstrate advanced robotic motions such as polygon and star-shaped trajectories, and navigate through maze.
View Article and Find Full Text PDFA Smart Pen Based on Triboelectric Effects for Handwriting Pattern Tracking and Biometric Identification.
ACS Appl Mater Interfaces
November 2022
Department of Optoelectronic Engineering, Key Laboratory of Optoelectronic Technology and Systems Ministry of Education, Chongqing University, Chongqing 400044, P. R. China.
The rapid development of artificial intelligence places high demands on human-machine interfaces. Various types of huma-machine interfaces have been implemented, including smart keyboards, electronic skins, and wearable motion sensors. Handwriting behavior has a high degree of interaction freedom, and handwriting characteristics offer high-security standards for human-machine systems.
View Article and Find Full Text PDFBackground: Post-operative cognitive function has recently become an area of focus for researchers. The most commonly reported perioperative neurocognitive disorders include delirium and longer-lasting post-operative cognitive dysfunctions. The contributing pathophysiology to these complications remains unclear.
View Article and Find Full Text PDFA Handwriting Method for Low-Cost Gas Sensors.
ACS Appl Mater Interfaces
October 2018
Institute for Nanoelectronics , Technische Universität München, 80333 Munich , Germany.
In this study, we report on an automated method based on a handwritten technique for the fabrication of low-cost gas sensors based on carbon nanotube (CNT) networks. Taking advantage of the inherent low-cost, flexible, and uncomplicated characteristics of pen-based techniques and combining them with an automated robotic system allows for high-resolution patterns, high reproducibility, and relatively high throughput considering the limitations of parallel processing. To showcase this, gas sensors capable of sensing NH, CO, CO, and ethanol, as well as temperature and relative humidity, are fabricated and characterized displaying competitive performance in relation to previously reported devices.
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