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A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition

机译：结合短期空间/频率特征提取和长期IndrnN进行活动识别的框架

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期刊名称 Sensors (Basel Switzerland)
作者
Beidi Zhao; Shuai Li; Yanbo Gao; Chuankun Li; Wanqing Li;
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作者单位

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年(卷),期 2020(20),23
年度 2020
页码 6984
总页数 19
原文格式 PDF
正文语种
中图分类
关键词
IndRNN; activity recognition; SHL dataset; smartphone sensors;

机译：Indrnn;活动识别;SHL数据集;智能手机传感器;

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1. A Framework of Temporal-Spatial Descriptors-Based Feature Extraction for Improved Myoelectric Pattern Recognition [J] . Rami N. Khushaba, Ali H. Al-Timemy, Ahmed Al-Ani, IEEE transactions on neural systems and rehabilitation engineering . 2017,第10期

机译：基于时空描述符的特征提取框架，用于改进的肌电模式识别
2. A spatiotemporal multi-feature extraction framework with space and channel based squeeze-and-excitation blocks for human activity recognition [J] . Zhang Beibei, Xu Hongji, Xiong Hailiang, Journal of ambient intelligence and humanized computing . 2021,第7期

机译：用于人类活动识别的空间和通道挤出块的时空多特征提取框架
3. Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn [J] . Wang C., Zou J., Zhang J., Cognitive Neurodynamics . 2010,第3期

机译：PCA与ApEn结合提取脑电中癫痫样活动的特征
4. Efficient Frequency Domain Feature Extraction Model using EPS and LDA for Human Activity Recognition [C] . Rasel Ahmed Bhuiyan, Md Amiruzzaman, Nadeem Ahmed, IEEE International Conference on Knowledge Innovation and Invention . 2020

机译：高效频域特征提取模型，用于人类活动识别的EPS和LDA
5. Feature extraction based on spatial co-occurrence and rotation properties for image recognition [D] . 野坂龍佑 2019

机译：基于空间共现和旋转特性的特征提取用于图像识别
6. Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn [O] . Chunmei Wang, Junzhong Zou, Jian Zhang, 2010

机译：PCA与ApEn结合提取脑电中癫痫样活动的特征
7. Feature extraction and recognition of epileptiform activity in EEG by combining PCA with ApEn [O] . Wang, Chunmei, Zou, Junzhong, Zhang, Jian, 2010

机译：PCA与ApEn结合提取脑电中癫痫样活动的特征
8. Comparison of Texture Analysis Techniques in Both Frequency and Spatial Domainsfor Cloud Feature Extraction. (Reannouncement with New Availability Information) [R] . Khazenie, N., Richardson, K. 1992

机译：云特征提取中频域和空域的纹理分析技术比较。（重新公布新的可用性信息）

A Framework of Combining Short-Term Spatial/Frequency Feature Extraction and Long-Term IndRNN for Activity Recognition

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