Deep learning-based subtask segmentation of timed up-and-go test using rgb-d cameras

HIGHLIGHTS

• who: Yoonjeong Choi and collaborators from the School of Integrated Technology, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea have published the Article: Deep Learning-Based Subtask Segmentation of Timed Up-and-Go Test Using RGB-D Cameras, in the Journal: Sensors 2022, 22, 6323. of /2022/
• what: The authors propose a novel DL-based subtask segmentation of the TUG test using an RGB-D camera (Azure Kinect). Considering the objectives of the experiments, the experimental setup of the RGB-D camera for data acquisition, and subjects (older adults), the authors compared the TUG . . .
  

   

  

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