add to favorites : reference url back to results : previous : next
 

Recognizing Teamwork Activity in Observations of Embodied Agents
Access this item.
TitleRecognizing Teamwork Activity in Observations of Embodied Agents
AuthorLuotsinen, Linus Jan
Keywordsteamwork activity recognition
AbstractThis thesis presents contributions to the theory and practice of team activity recognition. A particular focus of our work was to improve our ability to collect and label representative samples, thus making the team activity recognition more efficient. A second focus of our work is improving the robustness of the recognition process in the presence of noisy and distorted data. The main contributions of this thesis are as follows: We developed a software tool, the Teamwork Scenario Editor (TSE), for the acquisition, segmentation and labeling of teamwork data. Using the TSE we acquired a corpus of labeled team actions both from synthetic and real world sources. We developed an approach through which representations of idealized team actions can be acquired in form of Hidden Markov Models which are trained using a small set of representative examples segmented and labeled with the TSE. We developed set of team-oriented feature functions, which extract discrete features from the high-dimensional continuous data. The features were chosen such that they mimic the features used by humans when recognizing teamwork actions. We developed a technique to recognize the likely roles played by agents in teams even before the team action was recognized. Through experimental studies we show that the feature functions and role recognition module significantly increase the recognition accuracy, while allowing arbitrary shuffled inputs and noisy data.
AdviserBölöni, Ladislau
PublisherUniversity of Central Florida
DegreePh.D.
Degree DisciplineSchool of Electrical Engineering and Computer Science
Degree GrantorEngineering and Computer Science
Degree ProgramComputer Engineering PhD
Graduation Date2007-12-01
TypeDoctoral dissertation
Access LevelPublic - Allow Worldwide Access
Release Date2007-12-01
RepositoryUniversity Archives
Repository CollectionElectronic Theses and Dissertations
IdentifierCFE0001876
Access Linkhttp://purl.fcla.edu/fcla/etd/CFE0001876

add to favorites : reference url back to results : previous : next
powered by CONTENTdm ® | contact us  ^ to top ^