Dimitrios-Sokratis Komaris

Orcid: 0000-0003-4623-9060

According to our database1, Dimitrios-Sokratis Komaris authored at least 12 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
AI-Based Task Classification With Pressure Insoles for Occupational Safety.
IEEE Access, 2024

Assessing Trust in Collaborative Robotics with Different Human-Robot Interfaces.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023
Non-Invasive Assessment of Cartilage Damage of the Human Knee Using Acoustic Emission Monitoring: A Pilot Cadaver Study.
IEEE Trans. Biomed. Eng., September, 2023

Validation of Endurance Model for Manual Tasks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Acoustic emissions and age-related changes of the knee.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Test-Retest Reliability of Acoustic Emission Sensing of the Knee during Physical Tasks.
Sensors, 2022

Design of a Multi-Sensors Wearable Platform for Remote Monitoring of Knee Rehabilitation.
IEEE Access, 2022

Estimation of Maximum Shoulder and Elbow Joint Torques Based on Demographics and Anthropometrics.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Motion Artifact Resistant Mounting of Acoustic Emission Sensors for Knee Joint Monitoring.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Motion Capture Technology in Industrial Applications: A Systematic Review.
Sensors, 2020

Wearable motion sensors and artificial neural network for the estimation of vertical ground reaction forces in running.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

2019
Predicting Three-Dimensional Ground Reaction Forces in Running by Using Artificial Neural Networks and Lower Body Kinematics.
IEEE Access, 2019


  Loading...