Research on filtering and measurement algorithms based on human point cloud data

Article Computer Science, Artificial Intelligence

Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

Sen Qiu et al.

Summary: This paper introduces common wearable sensors, smart wearable devices, and key application areas, proposing fusion methods for multi-modality and multi-location sensors. It comprehensively surveys important aspects of wearable sensor fusion methods in human activity recognition, including new technologies in unsupervised learning and transfer learning, while also discussing open research issues that need further investigation and improvement.

INFORMATION FUSION (2022)

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Article Agriculture, Multidisciplinary

Automatic livestock body measurement based on keypoint detection with multiple depth cameras

Ao Du et al.

Summary: This paper introduces a 2D-3D fusion body measurement method that detects keypoints on RGB images using deep learning and projects them onto livestock point clouds. It achieves body measurements of cattle and pig using interpolation and pose normalization methods.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2022)

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Article Thermodynamics

ESTIMATION OF SHOULDER WIDTH AND NECK GIRTH BASED ON 3-D POINT CLOUD DATA

Xin Lu et al.

Summary: The study focuses on the 3-D point cloud map in anthropometry, using fast and accurate laser scan devices. It accurately determines shoulder width and neck girth from the 3-D point cloud, simplifies the data using a two-scale fractal, and demonstrates the accuracy in young female samples.

THERMAL SCIENCE (2021)

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Review Public, Environmental & Occupational Health