ติดตาม
Sakorn Mekruksavanich
Sakorn Mekruksavanich
School of Information and Communication Technology, University of Phayao
ยืนยันอีเมลแล้วที่ up.ac.th - หน้าแรก
ชื่อ
อ้างโดย
อ้างโดย
ปี
Lstm networks using smartphone data for sensor-based human activity recognition in smart homes
S Mekruksavanich, A Jitpattanakul
Sensors 21 (5), 1636, 2021
2182021
Biometric user identification based on human activity recognition using wearable sensors: An experiment using deep learning models
S Mekruksavanich, A Jitpattanakul
Electronics 10 (3), 308, 2021
1482021
Smartwatch-based human activity recognition using hybrid lstm network
S Mekruksavanich, A Jitpattanakul
2020 IEEE SENSORS, 1-4, 2020
872020
Deep convolutional neural network with rnns for complex activity recognition using wrist-worn wearable sensor data
S Mekruksavanich, A Jitpattanakul
Electronics 10 (14), 1685, 2021
832021
Enhanced hand-oriented activity recognition based on smartwatch sensor data using lstms
S Mekruksavanich, A Jitpattanakul, P Youplao, P Yupapin
Symmetry 12 (9), 1570, 2020
722020
Deep learning approaches for continuous authentication based on activity patterns using mobile sensing
S Mekruksavanich, A Jitpattanakul
Sensors 21 (22), 7519, 2021
682021
Resnet-se: Channel attention-based deep residual network for complex activity recognition using wrist-worn wearable sensors
S Mekruksavanich, A Jitpattanakul, K Sitthithakerngkiet, P Youplao, ...
IEEE Access 10, 51142-51154, 2022
572022
Negative emotion recognition using deep learning for thai language
S Mekruksavanich, A Jitpattanakul, N Hnoohom
2020 joint international conference on digital arts, media and technology …, 2020
572020
Smartwatch-based sitting detection with human activity recognition for office workers syndrome
S Mekruksavanich, N Hnoohom, A Jitpattanakul
2018 International ECTI Northern Section Conference on Electrical …, 2018
532018
Multimodal wearable sensing for sport-related activity recognition using deep learning networks
S Mekruksavanich, A Jitpattanakul
Journal of Advances in Information Technology 13, 2022
462022
Deep residual network for smartwatch-based user identification through complex hand movements
S Mekruksavanich, A Jitpattanakul
Sensors 22 (8), 3094, 2022
422022
Exercise activity recognition with surface electromyography sensor using machine learning approach
S Mekruksavanich, A Jitpattanakul
2020 Joint International Conference on Digital Arts, Media and Technology …, 2020
422020
Cnn-based deep learning network for human activity recognition during physical exercise from accelerometer and photoplethysmographic sensors
S Mekruksavanich, A Jitpattanakul
Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021, 531-542, 2022
412022
An Efficient ResNetSE Architecture for Smoking Activity Recognition from Smartwatch.
N Hnoohom, S Mekruksavanich, A Jitpattanakul
Intelligent Automation & Soft Computing 35 (1), 2023
392023
Sport-Related Activity Recognition from Wearable Sensors Using Bidirectional GRU Network.
S Mekruksavanich, A Jitpattanakul
Intelligent Automation & Soft Computing 34 (3), 2022
392022
Rnn-based deep learning for physical activity recognition using smartwatch sensors: A case study of simple and complex activity recognition
S Mekruksavanich, A Jitpattanakul
Mathematical Biosciences and Engineering 19 (6), 5671-5698, 2022
392022
A multichannel cnn-lstm network for daily activity recognition using smartwatch sensor data
S Mekruksavanich, A Jitpattanakul
2021 Joint International Conference on Digital Arts, Media and Technology …, 2021
392021
Medical expert system based ontology for diabetes disease diagnosis
S Mekruksavanich
2016 7th IEEE International Conference on Software Engineering and Service …, 2016
392016
A hybrid deep residual network for efficient transitional activity recognition based on wearable sensors
S Mekruksavanich, N Hnoohom, A Jitpattanakul
Applied Sciences 12 (10), 4988, 2022
382022
Recognition of real-life activities with smartphone sensors using deep learning approaches
S Mekruksavanich, A Jitpattanakul
2021 IEEE 12th International Conference on Software Engineering and Service …, 2021
362021
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