Papers

Title 2: A Lightweight Intelligent-Edge for Sensor-Based Real Time Human Activity Recognition in Factory Space (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)

Last Week's Progress

Title 2:
*Continue brainstorming improved DL algorithm
*Continue to try dataset training with a lightweight DL algorithm

Title 3:
*Submit paper to KICS conference

This Week Todo's

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

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
# Training dataset
# Solve the problems python program for sensor data visualization purpose
# Dataset collection with members for falling and anomaly activities scenario when safety tools arrived

This 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)
# Dataset labeling for falling and anomaly activities (dynamic activities) dataset
# Dataset training

Monthly Goals

1. Submit 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
4. Implement a deep learning algorithm for human activity recognition in IoT project

Annual Goals

1. Submit at least two SCI journals

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