Application of trajectory segmentation techniques for operator skill evaluation

Bin Li, Berenice F Mettler May

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


This paper compares trajectory segmentation techniques applied to the analysis of human operators' spatial control performance. The goal of the paper is to determine the effectiveness of three levels of analysis: traditional statistics, kinematic segmentation and finally dynamic clustering. The analysis emphasizes the broad range of behaviors associated with human spatial control skills. Such methods are necessary for the development of rating systems and models suited for applications involving human-machine interactions, such as in robotic surgery or teleoperation of agile vehicles. The data used for the analysis was collected using a miniature helicopter in an interactive flight test facility. Outcomes of the three different techniques are compared and discussed.

Original languageEnglish (US)
Title of host publication2013 American Control Conference, ACC 2013
Number of pages7
StatePublished - 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: Jun 17 2013Jun 19 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2013 1st American Control Conference, ACC 2013
Country/TerritoryUnited States
CityWashington, DC

Bibliographical note

Funding Information:
This research was supported by National Science Council, Taiwan, Republic of China under grant NSC 98-2622-E-327-018-CC2. In addition, the authors would like to appreciate Yun-Hsiang Sun to help parts of the experiments in this research.


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