Real-time human pose estimation on a smart walker using convolutional neural networks
Expert Systems with Applications（2021）
Abstract
•Real-time full-body human pose estimation solution for the ASBGo smart walker.•Convolutional neural network for 2D keypoint detection with regression to 3D space.•Information fusion from two rgb+d cameras with non-overlapping, complementary views.•Exploration of data acquisition, model training, benchmarking and deployment on CPU.
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Key words
rehabilitation,smart walker,computer vision,deep learning,human pose estimation
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