Self-Attention-Based Deep Convolution LSTM Framework for Sensor-Based Badminton Activity Recognition

Self-Attention-Based Deep Convolution LSTM Framework for Sensor-Based Badminton Activity Recognition

Sensor-based human activity recognition aims to classify human activities or behaviors according to the data from wearable or embedded sensors, leading to a new direction in the field of Artificial Intelligence. When the activities become high-level and sophisticated, such as in the multiple technic...

Full description

Bibliographic Details
Main Authors:	Jingyang Deng, Shuyi Zhang, Jinwen Ma
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Series:	Sensors
Subjects:	badminton activity recognition deep learning Long Short-Term Memory (LSTM) self-attention
Online Access:	https://www.mdpi.com/1424-8220/23/20/8373

Similar Items

Attention Mechanism and LSTM Network for Fingerprint-Based Indoor Location System
by: Zhen Wu, et al.
Published: (2024-02-01)

A study of attention and imagery capacities in badminton players
by: Gulsum Bastug, et al.
Published: (2017-08-01)

A Model for EEG-Based Emotion Recognition: CNN-Bi-LSTM with Attention Mechanism
by: Zhentao Huang, et al.
Published: (2023-07-01)

LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals
by: Alejandro Toro-Ossaba, et al.
Published: (2022-09-01)

Advancing human action recognition: A hybrid approach using attention-based LSTM and 3D CNN
by: El Mehdi Saoudi, et al.
Published: (2023-09-01)

Skeleton-based human action recognition with global context-aware attention LSTM networks
by: Liu, Jun, et al.
Published: (2020)

SA-Bi-LSTM: Self Attention With Bi-Directional LSTM-Based Intelligent Model for Accurate Fake News Detection to Ensured Information Integrity on Social Media Platforms
by: Wang Jian, et al.
Published: (2024-01-01)

ANN-LSTM-A Water Consumption Prediction Based on Attention Mechanism Enhancement
by: Xin Zhou, et al.
Published: (2024-02-01)

Partial Discharge Detection and Recognition in Insulated Overhead Conductor Based on Bi-LSTM with Attention Mechanism
by: Yanhui Xi, et al.
Published: (2023-05-01)

Sports match prediction model for training and exercise using attention-based LSTM network
by: Qiyun Zhang, et al.
Published: (2022-08-01)

Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
by: Risna Sari, et al.
Published: (2023-02-01)

Action Recognition Algorithm of Spatio–Temporal Differential LSTM Based on Feature Enhancement
by: Kai Hu, et al.
Published: (2021-08-01)

Hybrid LSTM-Transformer Model for Emotion Recognition From Speech Audio Files
by: Felicia Andayani, et al.
Published: (2022-01-01)

Time Series Prediction Based on LSTM-Attention-LSTM Model
by: Xianyun Wen, et al.
Published: (2023-01-01)

Speech emotion recognition based on Graph-LSTM neural network
by: Yan Li, et al.
Published: (2023-10-01)

Modulation Recognition of Communication Signal Based on Convolutional Neural Network
by: Kaiyuan Jiang, et al.
Published: (2021-12-01)

Attention-Based LSTM Algorithm for Audio Replay Detection in Noisy Environments
by: Jiakang Li, et al.
Published: (2019-04-01)

Prediction of Aerosol Extinction Coefficient in Coastal Areas of South China Based on Attention-BiLSTM
by: Zhou Ye, et al.
Published: (2022-04-01)

Logistics Service Quality Sentiment Analysis with Deeper Attention LSTM Model with Aspect Embedding
by: Wenjing Xuan, et al.
Published: (2023-01-01)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
by: Muhammad Najam Dar, et al.
Published: (2020-08-01)

Velocity-aware spatial-temporal attention LSTM model for inverse dynamic model learning of manipulators
by: Wenhui Huang, et al.
Published: (2024-02-01)

Contact Pattern Recognition of a Flexible Tactile Sensor Based on the CNN-LSTM Fusion Algorithm
by: Yang Song, et al.
Published: (2022-06-01)

An attention-based LSTM model for long-term runoff forecasting and factor recognition
by: Dongyang Han, et al.
Published: (2023-01-01)

Attention-LSTM-Attention Model for Speech Emotion Recognition and Analysis of IEMOCAP Database
by: Yeonguk Yu, et al.
Published: (2020-04-01)

The pocket guide to badminton tactics /
by: Mills, Roger, 1941- author
Published: (1985)

Shear Wave Velocity Prediction Based on the Long Short-Term Memory Network with Attention Mechanism
by: Xingan Fu, et al.
Published: (2024-03-01)

Atmospheric Temperature Prediction Based on a BiLSTM-Attention Model
by: Xueli Hao, et al.
Published: (2022-11-01)

Badminton Activity Recognition Using Accelerometer Data
by: Tim Steels, et al.
Published: (2020-08-01)

Enhancer-LSTMAtt: A Bi-LSTM and Attention-Based Deep Learning Method for Enhancer Recognition
by: Guohua Huang, et al.
Published: (2022-07-01)

TD-LSTM: Temporal Dependence-Based LSTM Networks for Marine Temperature Prediction
by: Jun Liu, et al.
Published: (2018-11-01)

Classification of ECG anomaly with dynamically-biased LSTM for continuous cardiac monitoring
by: Hu, Jinhai, et al.
Published: (2024)

Hybrid LSTM Neural Network for Short-Term Traffic Flow Prediction
by: Yuelei Xiao, et al.
Published: (2019-03-01)

Adverse Drug Reaction Detection From Social Media Based on Quantum Bi-LSTM With Attention
by: Xuqi Wang, et al.
Published: (2023-01-01)

Classifying Parasitized and Uninfected Malaria Red Blood Cells Using Convolutional-Recurrent Neural Networks
by: Adan Antonio Alonso-Ramirez, et al.
Published: (2022-01-01)

Spindle Thermal Error Prediction Based on LSTM Deep Learning for a CNC Machine Tool
by: Yu-Chi Liu, et al.
Published: (2021-06-01)

Research on throughput prediction of 5G network based on LSTM
by: Lanlan Li, et al.
Published: (2022-06-01)

Portable badminton shuttlecock launcher /
by: 625271 Muhammad Zikri Saifullah, 1996- author, et al.
Published: (2019)

Portable badminton shuttlecock launcher /
by: 625271 Muhammad Zikri Saifullah, 1996- author
Published: (2019)

A Multi-Channel Feature Fusion CNN-Bi-LSTM Epilepsy EEG Classification and Prediction Model Based on Attention Mechanism
by: Yahong Ma, et al.
Published: (2023-01-01)

Automatic Detection of Atrial Fibrillation Based on CNN-LSTM and Shortcut Connection
by: Yongjie Ping, et al.
Published: (2020-05-01)