Zhirong Lin

Orcid: 0000-0003-1317-5507

According to our database1, Zhirong Lin authored at least 13 papers between 2016 and 2022.

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

Timeline

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Bibliography

2022
Efficient fall detection in four directions based on smart insoles and RDAE-LSTM model.
Expert Syst. Appl., 2022

2021
Validation of Inertial Sensing-Based Wearable Device for Tremor and Bradykinesia Quantification.
IEEE J. Biomed. Health Informatics, 2021

2018
Quantitative assessment of parkinsonian tremor based on a linear acceleration extraction algorithm.
Biomed. Signal Process. Control., 2018

Quantification of Parkinsonian Bradykinesia Based on Axis-Angle Representation and SVM Multiclass Classification Method.
IEEE Access, 2018

Classification of Parkinsonian Rigidity Using AdaBoost with Decision Stumps.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

2017
Predictive distant operation and virtual control of computer numerical control machines.
J. Intell. Manuf., 2017

Radio Frequency Interference Suppression Algorithm Based on SOCP in OTHR.
Circuits Syst. Signal Process., 2017

An Experimental Performance Evaluation of the Orientation Accuracy of Four Nine-Axis MEMS Motion Sensors.
Proceedings of the 5th International Conference on Enterprise Systems, 2017

Analysis of a Six-Axis Industrial Robot's Dynamic Path Accuracy Based on an Optical Tracker.
Proceedings of the 5th International Conference on Enterprise Systems, 2017

Quantification assessment of bradykinesia in Parkinson's disease based on a wearable device.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
A 3D passive optical localization system based on binocular infrared cameras.
Proceedings of the IEEE International Conference on Information and Automation, 2016

Home energy management system using smart socket with appliance recognition.
Proceedings of the IEEE International Conference on Information and Automation, 2016

Force sensors for the quantitative assessment of parkinsonian rigidity.
Proceedings of the IEEE International Conference on Information and Automation, 2016


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