ALIS: Learning Affective Causality Behind Daily Activities From a Wearable Life-Log System

Author:

Kim Byung Hyung,Jo Sungho,Choi Sunghee

Funder

Institute of Information and Communications Technology Planning and Evaluation IITP Grant

National Research Foundation of Korea NRF Grant funded by the Korea Government MSIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Information Systems,Control and Systems Engineering,Software

Cited by 10 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. Complex Human Activity Recognition Based on Spatial LSTM and Deep Residual Convolutional Network Using Wearable Motion Sensors;IEEE Sensors Journal;2024-07-15

2. Opportunistic Retransmissions: A Novel Distributed Adaptive Algorithm for NR C-V2X Mode 2;IEEE Systems Journal;2024-06

3. Gradient-Based Local Causal Structure Learning;IEEE Transactions on Cybernetics;2024-01

4. Decoding auditory-evoked response in affective states using wearable around-ear EEG system;Biomedical Physics & Engineering Express;2023-08-25

5. On the Impact of Label Noise in Federated Learning;2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt);2023-08-24

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