Title

Poster Abstract: CAR - A deep learning structure for concurrent activity recognition

Document Type

Conference Proceeding

Publication Date

4-18-2017

Journal

Proceedings - 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017

DOI

10.1145/3055031.3055058

Keywords

Activity recognition; Deep learning; Multimodel; Passive RFID

Abstract

© 2017 ACM. 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.

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