Kinematic Data of Stick Insect Locomotion

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<opendatametainfo>

  <title>Locomotion Data of Stick Insects</title>

  <organisation>

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

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

  </organisation>

  <description>

 Dolor sit amet.

  </description>

  <projects>

    <project>

      <name>EMCAB</name>

      <!--

      <url>http://www.emicab.eu</url>

      <description>

        The EMICAB consortium takes a holistic approach to the engineering of artificial cognitive systems. Our goal is to integrate smart body mechanics in intelligent planning and control of motor behaviour. To achieve this goal the consortium accounts equally for problems in neuroscience (e.g., multi-sensory integration, internal body models, intelligent action planning) and technology (smart body mechanics, distributed embodied sensors and brain-like controllers). Our approach starts with a strongly sensorised bionic body with redundant whole-body kinematics and then designs the technological infrastructure such that cognitive mechansims emerge from distributed sensorimotor intelligence. The concept is based on neuroscience research on insects whose motor dexterity, adaptiveness and pre-rational abilities in learning and memory rival those of lower mammals: stick insects orchestrate a wide range of dexterous motor behaviours and flies can maintain object locations in short-term memory during navigation tasks, just to mention paradigms that are studied by UNIBI and UNIMAINZ. The partners DIEES and SDU will devise bio-inspired models and, in turn, guide ongoing experimental research in order to achieve the overall technological goal: a dexterous hexapod robot that exploits its bodily resources for cognitive functions. Two levels of analysis and modelling will be accounted for: the smart brain that captures various aspects of motion intelligence (motor learning, context-dependent actions, multi-sensory integration) and the smart body equipped with distributed proprioceptors and muscle-like compliance, allowing for novel, highly adaptive, neurobionic control strategies. The EMICAB robot will draw from its complex body features and learn by use of a manipulable internal body model. This will be monitored by an ambitious set of benchmarking scenarios. We expect mutual benefit for applied research on autonomous mobile robots and for basic research in neuroscience.        </description>

      </project>

      -->

  </projects>

  <version>1.0</version>

  <date>2012-09-25</date>

  <creators>

        <creator>

          <name>Dürr, Volker</name>

          <url></url>

        </creator>

        <creator>

          <name>Theunissen, Leslie</name>

          <url></url>

        </creator>

        <creator>

          <name>Bekemeier, Holger</name>

          <url></url>

        </creator>

  </creators>

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  <license>

        'Stick Insect Locomotion Data' Copyright(c) Volker Dürr, Leslie Theunissen, Holger Bekemeier

        There is NO warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. 

        The development of this database was supported by the EU FP7. This data is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/

  </license>

  <keywords>

        <keyword>Motion Tracking</keyword>

        <keyword>Locomotion</keyword>

        <keyword>Kinematic Analysis</keyword>

        <keyword>Whole-Body Coordination</keyword>

        <keyword>Stick Insect</keyword>

  </keywords>

  <structure>

    + Matlab Files from 36 trials, containing original measurements, processed data (e.g., kinematic variables calculated, and metadata). 

    + Sets of overview figures for each trial in one pdf file.

    + Pairs of videos per trial, showing the side view of a part of the experimental setup, and the whole sequence of recorded marker trajectories. 

  </structure>

  <formats>

          <format>PDF</format>

        <format>MOV</format>

        <format>MAT</format>

  </formats>

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