EgoCom: A Multi-person Multi-modal Egocentric Communications Dataset
Multi-modal datasets in artificial intelligence (AI) often capture a third-person perspective, but our embodied human intelligence evolved with sensory input from the egocentric, first-person perspective. Towards embodied AI, we introduce the Egocentric Communications (EgoCom) dataset to advance the...
Main Authors: | Northcutt, Curtis George (Contributor), Zha, Shengxin (Author), Lovegrove, Steven (Author), Newcombe, Richard (Author) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-06-07T14:17:15Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset
by: Lovegrove, S., et al.
Published: (2023) -
Ego identity, egocentrism, and formal operations
by: Wilkerson, Alice Jackie
Published: (2019) -
Academic Collaboration via Resource Contributions: An Egocentric Dataset
by: Michał Bojanowski,, et al.
Published: (2020-06-01) -
MULTI-MODAL ATTENTION AND EVENT BINDING IN HUMANOID ROBOTS USING A SENSORY EGO-SPHERE
by: Hambuchen, Kimberly Ann
Published: (2004) -
Correlated dynamics in egocentric communication networks.
by: Márton Karsai, et al.
Published: (2012-01-01)