A Deep Learning-based Model for Human Activity Recognition using Biosensors embedded into a Smart Knee Bandage. - Sakorn Mekruksavanich; Ponnipa Jantawong; Anuchit Jitpattanakul (ITQM, 2022)

Deep Learning Models for Daily Living Activity Recognition based on Wearable Inertial Sensors. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (JCSSE, 2022)

A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (JCSSE, 2022)

A Hybrid Deep Neural Network for Classifying Transportation Modes based on Human Activity Vibration. - Sakorn Mekruksavanich; Ponnipa Jantawong; Ilsun You; Anuchit Jitpattanakul (KST, 2022)

Recognizing Driver Activities Using Deep Learning Approaches Based on Smartphone Sensors. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (MIWAI, 2022)

Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network. - Sakorn Mekruksavanich; Ponnipa Jantawong; Narit Hnoohom; Anuchit Jitpattanakul (MIWAI, 2022)

Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module. - Sakorn Mekruksavanich; Ponnipa Jantawong; Anuchit Jitpattanakul (TSP, 2022)

Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices. - Sakorn Mekruksavanich; Ponnipa Jantawong; Anuchit Jitpattanakul (TSP, 2022)