Title 2: A Lightweight Intelligent-Edge for Sensor-Based Human Activity Monitoring During Quarantine (Processing)
Target: IEEE Sensor Special Issue
Title 3: Thermal Sensor-Based Human Activity Recognition using Hybrid-LSTM in Edge Computing Environment for Smart Factory Application (KICS Fall Conference 2021-Accepted)
Title 4: A Comparative Analysis of CNN Deep Learning for Activity Detection and Emergency Care Using Low-Resolution Infrared Array Sensor (Processing)
Title 2:
*Continue to try dataset training with a CNN DL algorithm
*Keep learn regarding sensor-based public dataset for human detection and emergency care scenario
*Try to train an activity detection public dataset
*Learn about LSTM algorithm
Title 4:
*Dataset training with some parameters
*Compare with some ML algorithms
*Continue writing paper
Title:
*Learn about edge computing framework and how to embed a DL algorithm in the end device
*Brainstorming ideas regarding implement a real time system in human activity case
Title 4:
*Working on paper revision
*Training dataset with an improved model
Human Activity Recognition using Integrated Thermal Array, UWB, Vibration sensor for Smart Factory Application
# Continue write a paper with members for project output
# Dataset collection for other participants
# Brainstorming regarding sensor integration and dataset collection
# Continue write a paper with members for project output
# Working on dataset labeling
# Brainstorming regarding sensor integration and dataset collection
# Plan to collect dataset for UWB and G-Link sensor
# Prepare the capstone final report with members
1. Preparing for international conference paper
2. Survey papers related to lightweight DL algorithm for edge computing environment as my research topic
3. Preparing for winter intensive
1. Submit at least two SCI journals
2. Attend one international
{2021 ICTC} (Done)
3. Attend one domestic conference
{2021 KICS Fall Conference} (Done)