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Action Recognition in Real-World Ambient Assisted Living Environment

Vincent Gbouna Zakka Zhuangzhuang Dai Luis J.Manso

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：914-932,19.

大数据挖掘与分析（英文版）2025，Vol.8Issue(4)：914-932,19.DOI:10.26599/BDMA.2025.9020003

Action Recognition in Real-World Ambient Assisted Living Environment

Vincent Gbouna Zakka ¹Zhuangzhuang Dai ¹Luis J.Manso²

作者信息

1. School of Computer Science and Digital Technologies,Aston University,Birmingham,B4 7ET,UK
2. Applied Artificial Intelligence and Robotics Department,Aston University,Birmingham,B4 7ET,UK
折叠

摘要

关键词

Ambient Assisted Living(AAL)/action recognition/occlusion robust/noise robust/computational efficiency

Key words

Ambient Assisted Living(AAL)/action recognition/occlusion robust/noise robust/computational efficiency

引用本文复制引用

Vincent Gbouna Zakka,Zhuangzhuang Dai,Luis J.Manso..Action Recognition in Real-World Ambient Assisted Living Environment[J].大数据挖掘与分析（英文版）,2025,8(4):914-932,19.

基金项目

The model was trained on the Aston EPS Machine Learning Server,funded by the EPSRC Core Equipment Fund(No.EP/V036106/1). （No.EP/V036106/1）

大数据挖掘与分析（英文版）

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