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

页码：89 / 90

页数：2

共 6 条

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