Intent Prediction in Human–Human Interactions-Reference-Cited by-同舟云学术

Intent Prediction in Human–Human Interactions

Published:2023-04 Issue:2 Volume:53 Page:458-463
ISSN:2168-2291
Container-title:IEEE Transactions on Human-Machine Systems
language:
Short-container-title:IEEE Trans. Human-Mach. Syst.

Author:

Baruah Murchana¹,Banerjee Bonny¹^ORCID,Nagar Atulya K.²^ORCID

Affiliation:

1. Institute for Intelligent Systems, and the Department of Electrical and Computer Engineering, University of Memphis, Memphis, TN, USA

2. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Hope Park, Liverpool, U.K.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Signal Processing,Control and Systems Engineering,Human Factors and Ergonomics

Link

http://xplorestaging.ieee.org/ielx7/6221037/10075055/10037766.pdf?arnumber=10037766

Reference33 articles.

1. Attention-Based Multiview Re-Observation Fusion Network for Skeletal Action Recognition

2. An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data

3. Skeleton-based action recognition by part-aware graph convolutional networks

4. Pose-conditioned spatio-temporal attention for human action recognition;baradel,2017

5. Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates

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