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2020 – today
- 2022
[c8]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: 621-627- [c7]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors. JCSSE 2022: 1-5 - [c6]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors. JCSSE 2022: 1-5 - [c5]Sakorn Mekruksavanich, Ponnipa Jantawong, Ilsun You, Anuchit Jitpattanakul:
A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration. KST 2022: 114-118 - [c4]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors. MIWAI 2022: 146-155 - [c3]Sakorn Mekruksavanich, Ponnipa Jantawong, Narit Hnoohom, Anuchit Jitpattanakul:
Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network. MIWAI 2022: 216-224 - [c2]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: 301-304 - [c1]Sakorn Mekruksavanich, Ponnipa Jantawong, Anuchit Jitpattanakul:
Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices. TSP 2022: 310-313
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