David Eager

Orcid: 0000-0003-1926-7867

According to our database1, David Eager authored at least 12 papers between 2010 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Investigation into the Trampoline Dynamic Characteristics and Analysis of Double Bounce Vibrations.
Sensors, 2022

Investigating the Knuckleball Effect in Soccer Using a Smart Ball and Training Machine.
Sensors, 2022

Simulating Theoretical Jerk by Numerical Modelling for Greyhound Racing.
Proceedings of the 12th International Conference on Simulation and Modeling Methodologies, 2022

2021
Evaluating Martial Arts Punching Kinematics Using a Vision and Inertial Sensing System.
Sensors, 2021

A Measurement of 'Walking-the-Wall' Dynamics: An Observational Study Using Accelerometry and Sensors to Quantify Risk Associated with Vertical Wall Impact Attenuation in Trampoline Parks.
Sensors, 2021

2019
Analysis of Agile Canine Gait Characteristics Using Accelerometry.
Sensors, 2019

Simulation of Racing Greyhound Kinematics.
Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, 2019

2018
Isometric Finger Pose Recognition with Sparse Channel SpatioTemporal EMG Imaging.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

The Effectiveness Of Compression Garments On EEG During a Running Test.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Effect Of Compression Garments On Cardiovascular Function During Recovery Phase.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2011
Understanding project success: The four-level project success framework.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

2010
Optical flow based analyses to detect emotion from human facial image data.
Expert Syst. Appl., 2010


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