基于多模态用户理解的实时集成人体活动识别系统

Proceedings of the 25th International Conference on Intelligent User Interfaces Companion Pub Date : 2020-03-13 DOI:10.1145/3379336.3381482

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

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引用次数: 2

摘要

本文介绍了我们的实时人类活动识别系统，该系统利用多模态传感器在多个层面上的数据来理解人类行为。我们的系统由一个多模态数据采集框架和一个用户理解算法组成，包括用户识别、活动识别和健康监测组件。

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

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.

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Proceedings of the 25th International Conference on Intelligent User Interfaces Companion

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