Anuchit Jitpattanakul

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 42

Top Topics

Activity Recognition

Wearable Sensors

Top Venues

Publications

Sakorn Mekruksavanich, Anuchit Jitpattanakul
Identifying Smartphone Users Based on Activities in Daily Living Using Deep Neural Networks. Inf. 15 (1) (2024)
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
Harnessing Deep Learning for Activity Recognition in Seniors' Daily Routines with Wearable Sensors. TSP (2024)
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
A Hybrid Residual CNN with Channel Attention Mechanism for Continuous User Identification Using Wearable Motion Sensors. TSP (2024)
Sakorn Mekruks Avanich, Wikanda Phaphan, Anuchit Jitpattanakul
Deep Learning Networks for Human Knee Abnormality Detection Based on Surface EMG Signals. TSP (2024)
Wikanda Phaphan, Anuchit Jitpattanakul, Supika Huadsri, Kamon Budsaba, Wiyada Phapan, Sakorn Mekruksavanich
Modeling Life Insurance Business Growth in Thailand using SARIMAX and Multilayer Perceptron. ICCAE (2024)
Sakorn Mekruksavanich, Wikanda Phaphan, Narit Hnoohom, Anuchit Jitpattanakul
Recognition of sports and daily activities through deep learning and convolutional block attention. PeerJ Comput. Sci. 10 (2024)
Narit Hnoohom, Sakorn Mekruksavanich, Thanaruk Theeramunkong, Anuchit Jitpattanakul
Efficient Residual Neural Network for Human Activity Recognition using WiFi CSI Signals. ICIEI (2024)
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
Detecting Face-Touching Gestures with Smartwatches and Deep Learning Networks. TSP (2024)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Elevating Wearable Sensor Authentication with Hybrid Deep Learning and Squeeze-and-Excitation. ICCSA (2) (2024)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Optimizing On-Body Sensor Placements for Deep Learning-Driven Human Activity Recognition. ICCSA (2) (2024)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Deep Residual Network with a CBAM Mechanism for the Recognition of Symmetric and Asymmetric Human Activity Using Wearable Sensors. Symmetry 16 (5) (2024)
Sakorn Mekruksavanich, Wikanda Phaphan, Anuchit Jitpattanakul
Leveraging Residual Deep Neural Networks and Multi-Device Sensors for Heterogeneous Activity Recognition. TSP (2024)
Sakorn Mekruksavanich, Datchakorn Tancharoen, Anuchit Jitpattanakul
Human Activity Recognition in Logistics Using Wearable Sensors and Deep Residual Network. TENCON (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Effective Detection of Epileptic Seizures through EEG Signals Using Deep Learning Approaches. Mach. Learn. Knowl. Extr. 5 (4) (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
A Comparative Study of Deep Learning Robustness for Sensor-based Human Activity Recognition. TSP (2023)
Anuchit Jitpattanakul, Sakorn Mekruksavanich
Enhancing Sensor-Based Human Activity Recognition using Efficient Channel Attention. SENSORS (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Position-aware Human Activity Recognition with Smartphone Sensors based on Deep Learning Approaches. TSP (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Deep Learning Networks for Complex Activity Recognition Based on Wrist-Worn Sensor. TENCON (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Deep Learning Approaches for Epileptic Seizures Recognition based on EEG Signal. TSP (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor. JCSSE (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Free-Weight Exercise Activity Recognition using Deep Residual Neural Network based on Sensor Data from In-Ear Wearable Devices. TSP (2023)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
A Deep Learning Network with Aggregation Residual Transformation for Human Activity Recognition Using Inertial and Stretch Sensors. Comput. 12 (7) (2023)
Sakorn Mekruksavanich, Ponnipa Jantawong, Ilsun You, Anuchit Jitpattanakul
A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration. KST (2022)
Narit Hnoohom, Pitchaya Chotivatunyu, Anuchit Jitpattanakul
ACF: An Armed CCTV Footage Dataset for Enhancing Weapon Detection. Sensors 22 (19) (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network. MIWAI (2022)
Narit Hnoohom, Nagorn Maitrichit, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Hierarchical Human Activity Recognition Based on Smartwatch Sensors Using Branch Convolutional Neural Networks. MIWAI (2022)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Deep Residual Network for Smartwatch-Based User Identification through Complex Hand Movements. Sensors 22 (8) (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors. MIWAI (2022)
Sakorn Mekruksavanich, Anuchit Jitpattanakul, Kanokwan Sitthithakerngkiet, Phichai Youplao, Preecha P. Yupapin
ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors. IEEE Access 10 (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors. JCSSE (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices. TSP (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul
A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors. JCSSE (2022)
Narit Hnoohom, Pitchaya Chotivatunyu, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Multi-resolution CNN for Lower Limb Movement Recognition Based on Wearable Sensors. MIWAI (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage. ITQM (2022)
Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul
Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module. TSP (2022)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
LSTM Networks Using Smartphone Data for Sensor-Based Human Activity Recognition in Smart Homes. Sensors 21 (5) (2021)
Sakorn Mekruksavanich, Chanon Promsakon, Anuchit Jitpattanakul
Location-based Daily Human Activity Recognition using Hybrid Deep Learning Network. JCSSE (2021)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Deep Learning Approaches for Continuous Authentication Based on Activity Patterns Using Mobile Sensing. Sensors 21 (22) (2021)
Sakorn Mekruksavanich, Anuchit Jitpattanakul
Smartwatch-based Human Activity Recognition Using Hybrid LSTM Network. IEEE SENSORS (2020)
Sakorn Mekruksavanich, Anuchit Jitpattanakul, Phichai Youplao, Preecha P. Yupapin
Enhanced Hand-Oriented Activity Recognition Based on Smartwatch Sensor Data Using LSTMs. Symmetry 12 (9) (2020)
Chutiphon Pukdeboon, Anuchit Jitpattanakul
Disturbance observer-based second order sliding mode attitude tracking control for flexible spacecraft. Kybernetika 53 (4) (2017)
Narit Hnoohom, Sakorn Mekruksavanich, Anuchit Jitpattanakul
Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning. SITIS (2017)