A Multimodal Information Fusion Model for Robot Action Recognition with Time Series
The current robotics field, led by a new generation of information technology, is moving into a new stage of human-machine collaborative operation. Unlike traditional robots that need to use isolation rails to maintain a certain safety distance from people, the new generation of human-machine collab...
Saved in:
Main Authors: | Xiaozhi Zhang, Hongyan Li, Mengjie Qian |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2022/7270412 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Research on Discriminative Skeleton-Based Action Recognition in Spatiotemporal Fusion and Human-Robot Interaction
by: Qiubo Zhong, et al.
Published: (2020-01-01) -
Brain-inspired multimodal motion and fine-grained action recognition
by: Yuening Li, et al.
Published: (2025-01-01) -
Comparative Study of Multimodal Biometric Recognition by Fusion of Iris and Fingerprint
by: Houda Benaliouche, et al.
Published: (2014-01-01) -
Research on Gait Recognition Based on GaitSet and Multimodal Fusion
by: Xiling Shi, et al.
Published: (2025-01-01) -
A Composite Recognition Method Based on Multimode Mutual Attention Fusion Network
by: Xing Ding, et al.
Published: (2025-12-01)