Semi-supervised behavior labeling using multimodal data during virtual teamwork-based collaborative activities

HIGHLIGHTS

• who: Abigale Plunk et al. from the Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA have published the article: Semi-Supervised Behavior Labeling Using Multimodal Data during Virtual Teamwork-Based Collaborative Activities, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: The authors propose a semi-supervised machine learning method to supplement manual data labeling of multimodal data in a collaborative virtual environment (CVE) used to train teamwork skills. In the previous workshop paper, the authors introduced automated behavior labeling during collaborative tasks using an unsupervised K-means . . .
  

   

  

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