标题
Multi-input CNN-GRU based human activity recognition using wearable sensors
作者
关键词
-
出版物
COMPUTING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-03-11
DOI
10.1007/s00607-021-00928-8
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach
- (2019) Zafer Al-Makhadmeh et al. COMPUTING
- Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study
- (2019) Mikel Canizo et al. NEUROCOMPUTING
- Deep Learning Models for Real-time Human Activity Recognition with Smartphones
- (2019) Shaohua Wan et al. MOBILE NETWORKS & APPLICATIONS
- Wearable sensors based human behavioral pattern recognition using statistical features and reweighted genetic algorithm
- (2019) Majid Ali Khan Quaid et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
- (2018) Andrey Ignatov APPLIED SOFT COMPUTING
- PTL-CFS based deep convolutional neural network model for remote sensing classification
- (2018) Xiaodong Yu et al. COMPUTING
- Deep learning algorithms for human activity recognition using mobile and wearable sensor networks: State of the art and research challenges
- (2018) Henry Friday Nweke et al. EXPERT SYSTEMS WITH APPLICATIONS
- Human Activity Classification in Smartphones Using Accelerometer and Gyroscope Sensors
- (2018) Ankita Jain et al. IEEE SENSORS JOURNAL
- LSTM Fully Convolutional Networks for Time Series Classification
- (2018) Fazle Karim et al. IEEE Access
- Time Series Classification with Multivariate Convolutional Neural Network
- (2018) Chien-Liang Liu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Deep learning based vein segmentation from susceptibility-weighted images
- (2018) Xiaodong Zhang et al. COMPUTING
- Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
- (2018) Yu Zhao et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A Multisensor Multiclassifier Hierarchical Fusion Model Based on Entropy Weight for Human Activity Recognition Using Wearable Inertial Sensors
- (2018) Ming Guo et al. IEEE Transactions on Human-Machine Systems
- A Survey on Activity Detection and Classification Using Wearable Sensors
- (2017) Maria Cornacchia et al. IEEE SENSORS JOURNAL
- Kernel fusion based extreme learning machine for cross-location activity recognition
- (2017) Zhelong Wang et al. Information Fusion
- Human activity recognition with smartphone sensors using deep learning neural networks
- (2016) Charissa Ann Ronao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Generation of Joint Trajectories Using Hybrid Automate-Based Model: A Rocking Block-Based Approach
- (2016) Vijay Bhaskar Semwal et al. IEEE SENSORS JOURNAL
- A Triaxial Accelerometer-Based Human Activity Recognition via EEMD-Based Features and Game-Theory-Based Feature Selection
- (2016) Zhelong Wang et al. IEEE SENSORS JOURNAL
- Bidirectional association of joint angle trajectories for humanoid locomotion: the restricted Boltzmann machine approach
- (2016) Manish Raj et al. NEURAL COMPUTING & APPLICATIONS
- Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer
- (2015) Andrey D. Ignatov et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach
- (2015) Vijay Bhaskar Semwal et al. NEURAL COMPUTING & APPLICATIONS
- A hierarchical abnormal human activity recognition system based on R-transform and kernel discriminant analysis for elderly health care
- (2012) Zafar Ali Khan et al. COMPUTING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search