Interactive spatiotemporal token attention network for skeleton-based general interactive action recognition

Y Wen, Z Tang, Y Pang, B Ding… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
Recognizing interactive action plays an important role in human-robot interaction and
collaboration. Previous methods use late fusion and co-attention mechanism to capture …

A two-stream hybrid cnn-transformer network for skeleton-based human interaction recognition

R Yin, J Yin - Chinese Conference on Pattern Recognition and …, 2024 - Springer
Abstract Human Interaction Recognition (HIR) is the process of identifying and
understanding interactive actions and activities between multiple participants in a specific …

Fast safety distance warning framework for proximity detection based on oriented object detection and pinhole model

H Li, J Qiu, K Yu, K Yan, Q Li, Y Yang, R Chang - Measurement, 2023 - Elsevier
Unauthorized approaching dangerous devices can cause serious dangers in electricity
industry. Estimation on distances between human and these devices can effectively reduce …

Understanding spatio-temporal relations in human-object interaction using pyramid graph convolutional network

H Xing, D Burschka - … on Intelligent Robots and Systems (IROS), 2022 - ieeexplore.ieee.org
Human activities recognition is an important task for an intelligent robot, especially in the
field of human-robot collaboration, it requires not only the label of sub-activities but also the …

Skeletal human action recognition using hybrid attention based graph convolutional network

H Xing, D Burschka - 2022 26th International Conference on …, 2022 - ieeexplore.ieee.org
In skeleton-based action recognition, Graph Convolutional Networks model human skeletal
joints as vertices and connect them through an adjacency matrix, which can be seen as a …

Adaptable action-aware vital models for personalized intelligent patient monitoring

K Wu, EH Chen, X Hao, F Wirth… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Vital signs such as heart rate, oxygen saturation, and blood pressure are crucial information
for healthcare workers to identify clinical deterioration of ward patients. Currently, medical …