首页|Researchers from Hebei University of Technology Describe Findings in Robotics (D eep learning-based semantic segmentation of human features in bath scrubbing rob ots)
Researchers from Hebei University of Technology Describe Findings in Robotics (D eep learning-based semantic segmentation of human features in bath scrubbing rob ots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news reporting out of Tianjin, People's Republic of China, by NewsRx editors, research stated, "With the rise in the aging population, an increase in the number of semidisabled elderly individuals has been noted, lead ing to notable challenges in medical and healthcare, exacerbated by a shortage o f nursing staff." Financial supporters for this research include National Key Research And Develop ment Program of China. The news reporters obtained a quote from the research from Hebei University of T echnology: "This study aims to enhance the human feature recognition capabilitie s of bath scrubbing robots operating in a water fog environment. The investigati on focuses on semantic segmentation of human features using deep learning method ologies. Initially, 3D point cloud data of human bodies with varying sizes are g athered through light detection and ranging to establish human models. Subsequen tly, a hybrid filtering algorithm was employed to address the impact of the wate r fog environment on the modeling and extraction of human regions. Finally, the network is refined by integrating the spatial feature extraction module and the channel attention module based on PointNet. The results indicate that the algori thm adeptly identifies feature information for 3D human models of diverse body s izes, achieving an overall accuracy of 95.7%."
Hebei University of TechnologyTianjinPeople's Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano -robotRobotics
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