Ftmar: A Fusion Transformer Network for Multi-Resident Activity Recognition

Cao, Jingjing; Chu, Jie; Guo, Fukang; Li, Kai; Xie, Ruiqin; Qin, Hu

doi:10.2139/ssrn.4064632

SSRN Journal

2022

DOI: 10.2139/ssrn.4064632

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Ftmar: A Fusion Transformer Network for Multi-Resident Activity Recognition

Jingjing Cao

Jie Chu

Fukang Guo

et al.

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2023

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Student Behavior Prediction of Mental Health Based on Two-Stream Informer Network

Ding

et al. 2023

Applied Sciences

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Students’ mental health has always been the focus of social attention, and mental health prediction can be regarded as a time-series classification task. In this paper, an informer network based on a two-stream structure (TSIN) is proposed to calculate the interdependence between students’ behaviors and the trend of time cycle, and the intermediate features are integrated layer by layer to realize the prediction of mental health by a gating mechanism. Through experiments on a real campus environment dataset (STU) and an open dataset (MTS), it is verified that the proposed algorithm can obtain higher accuracy than existing methods.

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Student Behavior Prediction of Mental Health Based on Two-Stream Informer Network

Ding

et al. 2023

Applied Sciences

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Ftmar: A Fusion Transformer Network for Multi-Resident Activity Recognition

Cited by 1 publication

References 23 publications

Student Behavior Prediction of Mental Health Based on Two-Stream Informer Network

Student Behavior Prediction of Mental Health Based on Two-Stream Informer Network

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