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DTSTAMP:20160706T124205
UID:85ba8b34-cc7e-11e8-806c-000e0c3db68b
SUMMARY:Vortrag | Heike Brock, Keio University, Japan
DESCRIPTION:Abstract:\nThe provision of motion feedback is known to be a decisive variable for motor skill acquisition\nand motor learning. However, despite the development of wearable motion sensing technologies,\naugmented motor support did not become common practice in sports training so far. This work\ndevelops signal processing and machine learning methods for the provision of ubiquitous motion\nfeedback on the base of inertial measurement devices. Precisely, I will present a system for the\nassessment and rating of motion style. This mobile, computer-directed motion feedback application\nis subject to four main procedural stages. First, numeric motion data for subsequent machine data\nprocessing are collected from the inertial sensors. Second, the information content of the acquired\nmotion data is augmented to provide accurate and reliable kinematic motion information. Third, the\naugmented motion data is transformed so that meaningful data representations are created. Lastly,\nartificial motion knowledge is learned and then utilized to enable the retrieval of relevant motion\ninformation for feedback provision to the user. Every computational stage is illustrated with\npractical motion data from ski jumping, and could serve for other sports in a similar way. This\nwork constitutes an important contribution to the implementation of future training and motion\nfeedback software tools, supporting multiple aspects of a motion performance. Especially for\njudging-based sports, the presented intelligent style assessment could provide fundamental and\nunique information to increase objectivity and measurability of the final competition scores.\nSpeaker's Bio:\nHeike Brock is a PhD candidate at the Graduate School of Media and Governance, Keio University,\nJapan. Her research interests focus on the development of motion information retrieval technologies\nfor motion feedback tools from wearable sensor data. Before coming to Japan, she has been a\nresearch member at the Institute of Sport Science at Leibniz University, Hanover, where she\nimplemented a wearable movement sonification system for use in motor learning and\nrehabilitation.\nHeike received a M.Sc. in Visual Computing from Saarland University in 2011 and a B.Eng in\nAudiovisual Media from Stuttgart Media University in 2008. During her master studies in\nSaarbruecken, she has been a student assistant in the Multimedia Information Retrieval group in the\nCluster of Excellence for Multimodal Computing and Interaction (MMCI) at the Max-Planck Institute\nof Informatics, Department 4 Computer Graphics. She is currently a scholar of the DAAD and the\nJapanese Ministry of Education, Culture, Sports, Science and Technology (MEXT).
DTSTART:20160707T153000
LOCATION:SimTech-Gebäude, Campus Vaihingen, Raum 0.009, Pfaffenwaldring 5a, 
URL;VALUE=URI:https://www.vis.uni-stuttgart.de/en/news/events/Vortrag-Heike-Brock-Keio-University-Japan/
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