A Correlation-based Real-time Segmentation Scheme for Multi-user Collaborative Activities
Author:
Affiliation:
1. School of Computing, KAIST,Daejeon,Korea
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842485.pdf?arnumber=9842485
Reference31 articles.
1. Using change point detection to automate daily activity segmentation
2. A sequential deep learning application for recognising human activities in smart homes
3. Contextual Relationship-based Activity Segmentation on an Event Stream in the IoT Environment with Multi-user Activities
4. Multi-user activity recognition: Challenges and opportunities
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A dataset of ambient sensors in a meeting room for activity recognition;Scientific Data;2024-05-21
2. Transformer based Early Classification for Real-time Human Activity Recognition in Smart Homes;Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing;2023-03-27
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