Hand trajectory data

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<opendatametainfo>

  <title>Hand trajectory data</title>

  <organisation>

        <name>CITEC -- Center of Excellence Cognitive Interaction Technology, Bielefeld University</name>

        <url>https://cit-ec.de</url>

  </organisation>

  <description>

This archive contains the hand trajectory data of 25 participants. During the experiments, each participant completed several of the obstacle point configurations. These point configurations are detailed in the figure which can be found in the README contained in the zip file and can also be found in the MAT file 'pointConfigurations.mat'.

The folder 'Participants' contains 25 sub-folders (e.g. participant 'AE'). Each of these sub-folder in turn contains several folders associated with a certain obstacle point configuration (e.g. 'A1'). In these folders you will find several MAT-Files, each of which contains the x- and y-coordinates of a trajectory of a single trial. In addition, you will find an overview figure depicting all trials of the participant associated with a particular obstacle configuration (gray lines), as well as the mean trajectory based on these trials (red line).

This project was in the main carried out by Dr. Till Bockem?hl and was supervised by Prof. Holk Cruse.

Homepage: http://www.uni-bielefeld.de/biologie/Kybernetik/People/holk_cruse.html

</description>

 <!--

  <projects>

        <project>

        <name>MINDA</name>

        <url>http://www.cit-ec.de/research/MINDA"</url>

        <description>

MINDA is creating incrementally growing database of manual interactions to help put manual intelligence research on a firmer empirical bases. This involves the study of manual interactions in humans using a multi-sensing approach. The database contains: geometry information, tactile sensor information, vision information and sound information. Using these multimodal information sources allows us to build models that can aid robots to carry out complex tasks of the type that humans perform with ease.

        </description>

        </project>

        <project>

        <name>CORTESMA</name>

        <url>http://www.cit-ec.de/research/CORTESMA"</url>

        <description>

                CORTESMA investigated hand kinematics and mental representations of grasping movements directed towards real and virtual spherical objects systematically varying                         in size. Results suggest that grasping movements are influenced by object size at an early stage of the movement for real and virtual objects. The analyses of mental                         representations (via SDA) and of motor synergies (via PCA) reveal a separation of the smallest three objects from the larger ones, pointing towards a conceptual                         influence on the grasping movement.

        </description>

        </project>        

  </projects>

  -->

  <version>v1.0.0</version>

  <date>2014-04-08</date>

  <creators>

        <creator>

        <name>Till Bockem?hl</name>

        <url></url>

        </creator>

  </creators>

  <creators>

        <creator>

        <name>Holk Kruse</name>

        <url>http://www.cit-ec.de/users/hkruse</url>

        </creator>

  </creators>

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  <contributors>

  <contributor>

          <name>-</name>

          <url>-</url>

  </contributor>

  </contributors>

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  <downloadurls>

        <downloadurl>http://openresearch.cit-ec.de/attachments/download/197/Hand%20trajectory%20data.zip</downloadurl>

  </downloadurls>

  <license>

        Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

  </license>

  <keywords>

        <keyword>manual action</keyword>

        <keyword>grasping</keyword>

        <keyword>hand kinematics</keyword>

        <keyword>virtual objects</keyword>

        <keyword>motor synergies</keyword>

        <keyword>mental representation of movement </keyword> 

  </keywords>

  <!--

  <structure>

        Time series of joint angles and hand positions. Note that the Cyberglove captures at approximately 90hz and the Vicon system at exactly 200hz. 

  </structure>

  -->

  <formats>

          <format>PNG</format>

          <format>MAT</format>

  </formats>

  <!--

  <relation>http://pub.uni-bielefeld.de/pub?func=drec&#38;id=2034003"</relation>

  -->

  <acknowledgements>

        The development of this database was supported by the Excellence Cluster EXC 277 Cognitive Interaction Technology. The Excellence Cluster EXC 277 is a grant of the Deutsche                 Forschungsgemeinschaft (DFG) in the context of the German Excellence Initiative. 

  </acknowledgements>

</opendatametainfo>

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