Title
CAR - a deep learning structure for concurrent activity recognition: poster abstract.
Abstract
We introduce the Concurrent Activity Recognizer (CAR) - an efficient deep learning structure that recognizes complex concurrent teamwork activities from multimodal data. We implemented the system in a challenging medical setting, where it recognizes 35 different activities using Kinect depth video and data from passive RFID tags on 25 types of medical objects. Our preliminary results showed our system achieved an 84% average accuracy with 0.20 F1-Score.
Year
DOI
Venue
2017
10.1145/3055031.3055058
IPSN
Keywords
Field
DocType
Activity Recognition, Deep Learning, Multimodel, Passive RFID
Teamwork,Activity recognition,Computer science,Speech recognition,Artificial intelligence,Deep learning
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
8
Name
Order
Citations
PageRank
Yanyi Zhang1296.40
Xinyu Li238165.75
Jianyu Zhang3458.70
Shuhong Chen44910.21
Moliang Zhou5163.55
Richard A. Farneth6114.44
Ivan Marsic771691.96
Randall S. Burd812221.53