Anuchit Jitpattanakul
Orcid: 0000-0002-5249-2786
According to our database1,
Anuchit Jitpattanakul
authored at least 31 papers
between 2017 and 2024.
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Bibliography
2024
Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks.
Inf., 2024
2023
Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches.
Mach. Learn. Knowl. Extr., December, 2023
A Deep Learning Network with Aggregation Residual Transformation for Human Activity Recognition Using Inertial and Stretch Sensors.
Comput., June, 2023
A Comparative Study of Deep Learning Robustness for Sensor-based Human Activity Recognition.
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Free-Weight Exercise Activity Recognition using Deep Residual Neural Network based on Sensor Data from In-Ear Wearable Devices.
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Position-aware Human Activity Recognition with Smartphone Sensors based on Deep Learning Approaches.
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Human Activity Recognition in Logistics Using Wearable Sensors and Deep Residual Network.
Proceedings of the IEEE Region 10 Conference, 2023
Proceedings of the IEEE Region 10 Conference, 2023
Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor.
Proceedings of the 20th IEEE International Joint Conference on Computer Science and Software Engineering, 2023
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
2022
Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements.
Sensors, 2022
ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors.
IEEE Access, 2022
Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices.
Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022
Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module.
Proceedings of the 45th International Conference on Telecommunications and Signal Processing, 2022
Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks.
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2022
A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration.
Proceedings of the 14th International Conference on Knowledge and Smart Technology, 2022
A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors.
Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022
Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors.
Proceedings of the 19th International Joint Conference on Computer Science and Software Engineering, 2022
A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage.
Proceedings of the 9th International Conference on Information Technology and Quantitative Management, 2022
2021
Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing.
Sensors, 2021
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes.
Sensors, 2021
Proceedings of the 18th International Joint Conference on Computer Science and Software Engineering, 2021
2020
Enhanced Hand-Oriented Activity Recognition Based on Smartwatch Sensor Data Using LSTMs.
Symmetry, 2020
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020
2017
Disturbance observer-based second order sliding mode attitude tracking control for flexible spacecraft.
Kybernetika, 2017
Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning.
Proceedings of the 13th International Conference on Signal-Image Technology & Internet-Based Systems, 2017