Real-time Integrated Human Activity Recognition System based on Multimodal User Understanding

被引：3
|
作者：
Choi, Jun-Ho [1 ]
Kim, Kyungmin [1 ]
Park, Taejin [1 ]
Yun, Junho [2 ]
Lee, Jong-Hwan [2 ]
Kim, Songkuk [1 ]
Shim, Hyunjung [1 ]
Lee, Jong-Seok [1 ]
机构：
[1] Yonsei Univ, Seoul, South Korea
[2] Korea Univ, Seoul, South Korea
来源：
PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES COMPANION (IUI'20) | 2020年
关键词：
User understanding; activity recognition; multimodal data;
D O I：
10.1145/3379336.3381482
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents our real-time human activity recognition system that understands human behavior using multimodal sensor data at multiple levels. Our system consists of a multimodal data acquisition framework and a user understanding algorithm including user identification, activity recognition, and health monitoring components.
引用
收藏
页码：89 / 90
页数：2
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