nam 22 uu 4500 dbt_mods_00033195 dbt_mods_00033195 ger DE-601 rda eng 620 sdnb Nowack, Tobias Author aut Identify pointing and waving in gesture based Human-Machine-Interaction Nowack, Tobias;Dutschmann, Christoph Ilmenau 2017-11-08 10 Seiten text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The gestures "pointing" and "waving" are investigated with regard to their characteristic properties and their suitability for using in gesture based Human-Machine-Interaction (HMI). The MS Kinect 2® as usable motion capturing device is proofed. A description of different basic types of gestures in human-to-human interaction is given and the requirements for the HMI are discussed. A general phase model in combination with the movements of a gesture execution is explained. For the technical recognition of these movement sequences, parameters are defined which are based on the joint data of the Kinect. Detecting the pointing gesture an angle, its angular velocity and optional a holding time are used. The waving gesture is also detected with the help of an angle and its periodicy. To evaluate these angles and the necessary threshold values, several experiments had been done. article Dutschmann, Christoph Author aut ilmedia Publisher pbl (DE-588)16003365-2 Technische Universität Ilmenau Fakultät für Maschinenbau host institution his Ilmenau Scientific Colloquium. Technische Universität Ilmenau ; 59 (Ilmenau) : 2017.09.11-15 59, 2017:3.2.09 Rektor der TU Ilmenau; ilmedia; Ilmenau Scientific Colloquium. Technische Universität Ilmenau ; 59 (Ilmenau) : 2017.09.11-15; Technische Universität Ilmenau, Fakultät für Maschinenbau Engineering for a Changing World dbt_mods_00033009 https://www.db-thueringen.de/receive/dbt_mods_00033195 object in context https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00039343/ilm1-2017iwk-007.pdf raw object https://www.db-thueringen.de/rsc/thumbnail/dbt_mods_00033195.png preview https://www.db-thueringen.de/receive/dbt_mods_00033195 uri