Real-time integrated human activity recognition system based on multimodal user understanding

Jun Ho Choi; Kyungmin Kim; Taejin Park; Junho Yun; Jong Hwan Lee; Songkuk Kim; Hyunjung Shim; Jong Seok Lee

doi:10.1145/3379336.3381482

Real-time integrated human activity recognition system based on multimodal user understanding

Jun Ho Choi, Kyungmin Kim, Taejin Park, Junho Yun, Jong Hwan Lee, Songkuk Kim, Hyunjung Shim, Jong Seok Lee

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020
Publisher	Association for Computing Machinery
Pages	89-90
Number of pages	2
ISBN (Electronic)	9781450375139
DOIs	https://doi.org/10.1145/3379336.3381482
Publication status	Published - 2020 Mar 17
Event	25th International Conference on Intelligent User Interfaces, IUI 2020 - Cagliari, Italy Duration: 2020 Mar 17 → 2020 Mar 20

Publication series

Name	International Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference	25th International Conference on Intelligent User Interfaces, IUI 2020
Country/Territory	Italy
City	Cagliari
Period	20/3/17 → 20/3/20

Bibliographical note

Publisher Copyright:
© 2020 International Conference on Intelligent User Interfaces, Proceedings IUI. All rights reserved.

All Science Journal Classification (ASJC) codes

Software
Human-Computer Interaction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3379336.3381482

Cite this

Choi, J. H., Kim, K., Park, T., Yun, J., Lee, J. H., Kim, S., Shim, H., & Lee, J. S. (2020). Real-time integrated human activity recognition system based on multimodal user understanding. In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020 (pp. 89-90). (International Conference on Intelligent User Interfaces, Proceedings IUI). Association for Computing Machinery. https://doi.org/10.1145/3379336.3381482

Choi, Jun Ho ; Kim, Kyungmin ; Park, Taejin et al. / Real-time integrated human activity recognition system based on multimodal user understanding. Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020. Association for Computing Machinery, 2020. pp. 89-90 (International Conference on Intelligent User Interfaces, Proceedings IUI).

@inproceedings{e4b36f54f3fe413e91ad1a6ca1618b76,

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 = "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",

}

Choi, JH, Kim, K, Park, T, Yun, J, Lee, JH, Kim, S, Shim, H & Lee, JS 2020, Real-time integrated human activity recognition system based on multimodal user understanding. in Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020. International Conference on Intelligent User Interfaces, Proceedings IUI, Association for Computing Machinery, pp. 89-90, 25th International Conference on Intelligent User Interfaces, IUI 2020, Cagliari, Italy, 20/3/17. https://doi.org/10.1145/3379336.3381482

Real-time integrated human activity recognition system based on multimodal user understanding. / Choi, Jun Ho; Kim, Kyungmin; Park, Taejin et al.
Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020. Association for Computing Machinery, 2020. p. 89-90 (International Conference on Intelligent User Interfaces, Proceedings IUI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Real-time integrated human activity recognition system based on multimodal user understanding

AU - Choi, Jun Ho

AU - Kim, Kyungmin

AU - Park, Taejin

AU - Yun, Junho

AU - Lee, Jong Hwan

AU - Kim, Songkuk

AU - Shim, Hyunjung

AU - Lee, Jong Seok

PY - 2020/3/17

Y1 - 2020/3/17

N2 - 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.

AB - 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.

KW - Activity recognition

KW - Multimodal data

KW - User understanding

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DO - 10.1145/3379336.3381482

M3 - Conference contribution

AN - SCOPUS:85082165751

T3 - International Conference on Intelligent User Interfaces, Proceedings IUI

SP - 89

EP - 90

BT - Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020

PB - Association for Computing Machinery

T2 - 25th International Conference on Intelligent User Interfaces, IUI 2020

Y2 - 17 March 2020 through 20 March 2020

ER -

Choi JH, Kim K, Park T, Yun J, Lee JH, Kim S et al. Real-time integrated human activity recognition system based on multimodal user understanding. In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020. Association for Computing Machinery. 2020. p. 89-90. (International Conference on Intelligent User Interfaces, Proceedings IUI). doi: 10.1145/3379336.3381482

Real-time integrated human activity recognition system based on multimodal user understanding

Abstract

Publication series

Conference

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

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