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1 Ergebnisse
1
Towards Multi-User Activity Recognition through Facilitated..:
, In:
2023 International Joint Conference on Neural Networks (IJCNN)
,
Semeraro, Francesco
;
Carberry, Jon
;
Cangelosi, Angelo
- p. 01-09 , 2023
Link:
https://doi.org/10.1109/IJCNN54540.2023.10191782
RT T1
2023 International Joint Conference on Neural Networks (IJCNN)
: T1
Towards Multi-User Activity Recognition through Facilitated Training Data and Deep Learning for Human-Robot Collaboration Applications
UL https://suche.suub.uni-bremen.de/peid=ieee-10191782&Exemplar=1&LAN=DE A1 Semeraro, Francesco A1 Carberry, Jon A1 Cangelosi, Angelo YR 2023 SN 2161-4407 K1 Training K1 Deep learning K1 Three-dimensional displays K1 Collaboration K1 Training data K1 Human-robot interaction K1 Activity recognition K1 Skeleton K1 Task analysis K1 Long short term memory K1 multi-user activity recognition K1 single-user training data K1 concurrent tasks K1 multi-party human-robot collaboration K1 non-dyadic human-robot collaboration K1 deep learning K1 long short-term memory K1 variational auto encoder K1 spatio-temporal graph convolutional network K1 transfer learning SP 01 OP 09 LK http://dx.doi.org/https://doi.org/10.1109/IJCNN54540.2023.10191782 DO https://doi.org/10.1109/IJCNN54540.2023.10191782 SF ELIB - SuUB Bremen
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