Online feature extraction for the incremental learning of gestures in human-swarm interaction
We present a novel approach for the online learning of hand gestures in swarm robotic (multi-robot) systems. We address the problem of online feature learning by proposing Convolutional Max-Pooling (CMP), a simple feed-forward two-layer network derived from the deep hierarchical Max-Pooling Convolut...
Saved in:
Main Authors: | Nagi J., Giusti A., Nagi F., Gambardella L.M., Di Caro G.A. |
---|---|
Other Authors: | 25825455100 |
Format: | Conference Paper |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
|
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
by: Joseph, A., et al.
Published: (2012) -
Hand gesture recognition for human-robot interaction
by: Tan, Ann Nie
Published: (2020) -
Extension of Incremental Linear Discriminant Analysis to Online Feature Extraction under Nonstationary Environments
by: Annie, Joseph, et al.
Published: (2012) -
Perspectives of gestures for gestural-based interaction systems: towards natural interaction
by: Othman, Nur Zuraifah Syazrah, et al.
Published: (2019) -
Extraction of head and hand gesture features for recognition of sign language
by: Paulraj, M. P., et al.
Published: (2014)