Papers

Title 2: A Lightweight Intelligent-Edge for Sensor-Based Human Activity Monitoring During Quarantine (Processing)
Target: IEEE Sensor

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)

Last Week's Progress

Title 2:
*Continue brainstorming improved DL algorithm
*Continue to try dataset training with a lightweight DL algorithm
*Compare with public dataset
*Try to train an activity detection public dataset

This Week Todo's

Title 2:
*Continue to try dataset training with a lightweight CNN DL algorithm
*Continue learn regarding sensor-based public dataset
*Try to train an activity detection public dataset

Title 3:
*Prepare PPT file for KICS conference

Title 4:
*Dataset training with some parameters
*Start writing paper

Project Progress

Human Activity Recognition using Integrated Thermal Array, UWB, Vibration sensor for Smart Factory Application

Last Week's Project

# Continue learning about deep learning algorithm for human activity recognition (RNN, CNN)
# Continue learning about lightweight CNN
# Dataset collection with members for falling and anomaly activities (dynamic activities)

This Week's Project

# Finishing dataset labeling for falling and dynamic activities dataset
# Dataset training for falling and dynamic activities scenario
# Write a paper with members for project output

Monthly Goals

1. Attend KCIS Fall 2021
2. Preparing for international conference paper
3. Survey papers related to lightweight DL algorithm for edge computing environment as my research topic

Annual Goals

1. Submit at least two SCI journals

2. Attend one international and one domestic conference
{2021 ICTC} (Done)