@inproceedings{557d5747932048fba56de23fdc8d3c79,
title = "Real-time integrated human activity recognition system based on multimodal user understanding",
abstract = "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.",
keywords = "Activity recognition, Multimodal data, User understanding",
author = "Choi, {Jun Ho} and Kyungmin Kim and Taejin Park and Junho Yun and Lee, {Jong Hwan} and Songkuk Kim and Hyunjung Shim and Lee, {Jong Seok}",
note = "Funding Information: This work was supported by the IITP grant funded by the Korea government (MSIT) (R7124-16-0004, Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding). Publisher Copyright: {\textcopyright} 2020 International Conference on Intelligent User Interfaces, Proceedings IUI. All rights reserved.; 25th International Conference on Intelligent User Interfaces, IUI 2020 ; Conference date: 17-03-2020 Through 20-03-2020",
year = "2020",
month = mar,
day = "17",
doi = "10.1145/3379336.3381482",
language = "English",
series = "International Conference on Intelligent User Interfaces, Proceedings IUI",
publisher = "Association for Computing Machinery",
pages = "89--90",
booktitle = "Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020",
}
