Kooksung Jun

Orcid: 0000-0002-8757-2014

According to our database1, Kooksung Jun authored at least 11 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

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Bibliography

2023
Deep-Learning-Based ADHD Classification Using Children's Skeleton Data Acquired through the ADHD Screening Game.
Sensors, 2023

Deep Learning-Based ADHD and ADHD-RISK Classification Technology through the Recognition of Children's Abnormal Behaviors during the Robot-Led ADHD Screening Game.
Sensors, 2023

2022
Azure Kinect 3D skeleton and foot pressure data for pathological gaits.
Dataset, May, 2022

Markerless 3D Skeleton Tracking Algorithm by Merging Multiple Inaccurate Skeleton Data from Multiple RGB-D Sensors.
Sensors, 2022

Automatic pathological gait recognition by a mobile robot using ultrawideband-based localization and a depth camera.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

2021
Kinect v2 skeleton datasets of simulated abnormal gaits.
Dataset, October, 2021

Deep Neural Network-Based Double-Check Method for Fall Detection Using IMU-L Sensor and RGB Camera Data.
IEEE Access, 2021

Deep Learning-Based Multimodal Abnormal Gait Classification Using a 3D Skeleton and Plantar Foot Pressure.
IEEE Access, 2021

2020
Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks.
IEEE Access, 2020

Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition.
IEEE Access, 2020

2019
Abnormal Gait Recognition Using 3D Joint information of Multiple Kinects System and RNN-LSTM.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019


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