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.
|Title of host publication||Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. IUI 2020|
|Publisher||Association for Computing Machinery|
|Number of pages||2|
|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
|Name||International Conference on Intelligent User Interfaces, Proceedings IUI|
|Conference||25th International Conference on Intelligent User Interfaces, IUI 2020|
|Period||20/3/17 → 20/3/20|
Bibliographical noteFunding 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).
All Science Journal Classification (ASJC) codes
- Human-Computer Interaction