中国科学院计算技术研究所机构知识库

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	DiamondNet: A Neural-Network-Based Heterogeneous Sensor Attentive Fusion for Human Activity Recognition 期刊论文 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 11 作者:  Zhu, Yida;  Luo, Haiyong;  Chen, Runze;  Zhao, Fang 收藏  |  浏览/下载：7/0  |  提交时间：2023/12/04 Convolutional denoising autoencoders (CDAEs)  global-attention mechanism  graph convolutional networks  human activity recognition (HAR)  multisensor modality  self-attention mechanism
	Bi-STAN: bilinear spatial-temporal attention network for wearable human activity recognition 期刊论文 INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2023, 页码: 17 作者:  Gao, Chenlong;  Chen, Yiqiang;  Jiang, Xinlong;  Hu, Lisha;  Zhao, Zhicheng;  Zhang, Yuxin 收藏  |  浏览/下载：13/0  |  提交时间：2023/07/12 Human activity recognition  Spatial-temporal attention  Bilinear pooling  Low-redundancy
	Recent Advances in Pedestrian Navigation Activity Recognition: A Review 期刊论文 IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 8, 页码: 7499-7518 作者:  Wang, Qu;  Luo, Haiyong;  Wang, Jianquan;  Sun, Lei;  Ma, Zhangchao;  Zhang, Chaoyi;  Fu, Meixia;  Zhao, Fang 收藏  |  浏览/下载：23/0  |  提交时间：2022/12/07 Activity recognition  Sensors  Navigation  Legged locomotion  Performance evaluation  Hidden Markov models  Feature extraction  Pedestrian positioning  human activity recognition  pedestrian navigation activity  public dataset
	The Effect of Axis-Wise Triaxial Acceleration Data Fusion in CNN-Based Human Activity Recognition 期刊论文 IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2020, 卷号: E103D, 期号: 4, 页码: 12 作者:  Han, Xinxin;  Ye, Jian;  Luo, Jia;  Zhou, Haiying 收藏  |  浏览/下载：40/0  |  提交时间：2020/12/10 triaxial accelerometer  human activity recognition  data fusion  convolutional neural network
	A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM 期刊论文 SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 20 作者:  Gao, Xile;  Luo, Haiyong;  Wang, Qu;  Zhao, Fang;  Ye, Langlang;  Zhang, Yuexia 收藏  |  浏览/下载：73/0  |  提交时间：2019/08/16 human activity recognition  indoor positioning  deep learning  Stacking Denoising Autoencoder  LightGBM