Attention induced multi-head convolutional neural network for human activity recognition
出版年份 2021 全文链接
标题
Attention induced multi-head convolutional neural network for human activity recognition
作者
关键词
Human activity recognition, Convolutional neural network, Squeeze-and-excitation module, Attention mechanism, Inertial sensors
出版物
APPLIED SOFT COMPUTING
Volume 110, Issue -, Pages 107671
出版商
Elsevier BV
发表日期
2021-07-01
DOI
10.1016/j.asoc.2021.107671
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。- Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications
- (2021) Amin Ullah et al. APPLIED SOFT COMPUTING
- Att-Net: Enhanced emotion recognition system using lightweight self-attention module
- (2021) Mustaqeem et al. APPLIED SOFT COMPUTING
- DeepCoroNet: A deep LSTM approach for automated detection of COVID-19 cases from chest X-ray images
- (2021) Fatih Demir APPLIED SOFT COMPUTING
- Sarcasm detection in mash-up language using soft-attention based bi-directional LSTM and feature-rich CNN
- (2020) Deepak Jain et al. APPLIED SOFT COMPUTING
- ADCM: attention dropout convolutional module
- (2020) Zhigang Liu et al. NEUROCOMPUTING
- The Layer-Wise Training Convolutional Neural Networks Using Local Loss for Sensor-Based Human Activity Recognition
- (2020) Qi Teng et al. IEEE SENSORS JOURNAL
- A review and categorization of techniques on device-free human activity recognition
- (2020) Zawar Hussain et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Human Activity Recognition Based on Wearable Sensor Using Hierarchical Deep LSTM Networks
- (2019) LuKun Wang et al. CIRCUITS SYSTEMS AND SIGNAL PROCESSING
- Multi-head CNN–RNN for multi-time series anomaly detection: An industrial case study
- (2019) Mikel Canizo et al. NEUROCOMPUTING
- Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors
- (2019) Kun Wang et al. IEEE SENSORS JOURNAL
- Multivariate LSTM-FCNs for time series classification
- (2019) Fazle Karim et al. NEURAL NETWORKS
- A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention
- (2019) Haoxi Zhang et al. IEEE Internet of Things Journal
- Real-time human activity recognition from accelerometer data using Convolutional Neural Networks
- (2018) Andrey Ignatov APPLIED SOFT 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
- Deep Residual Bidir-LSTM for Human Activity Recognition Using Wearable Sensors
- (2018) Yu Zhao et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- A Survey on Activity Detection and Classification Using Wearable Sensors
- (2017) Maria Cornacchia et al. IEEE SENSORS JOURNAL
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Human activity recognition with smartphone sensors using deep learning neural networks
- (2016) Charissa Ann Ronao et al. EXPERT SYSTEMS WITH APPLICATIONS
- Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
- (2016) Francisco Ordóñez et al. SENSORS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A tutorial on human activity recognition using body-worn inertial sensors
- (2014) Andreas Bulling et al. ACM COMPUTING SURVEYS
- A Survey on Human Activity Recognition using Wearable Sensors
- (2012) Oscar D. Lara et al. IEEE Communications Surveys and Tutorials
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now