Intelligent Motion Feedback Systems guest lecture, Augest 5th

HeikeBrock.JPGSABEL Labs would like to invite you to a guest lecture from our good friends at  Ohgi laboratory, KEIO University Japan.

Towards Intelligent Motion Feedback Systems – The Use of Information Retrieval Methods in Sports, 

Heike Brock, Keio University

Sir Samuel Griffith Building, Nathan Campus, Griffith University,  N78_-1.12 (level minus one)

Friday August 5th, 11am-12pm

The provision of motion feedback is known to be a decisive variable for motor skill acquisition and motor learning. However, despite the development of wearable motion sensing technologies, augmented motor support did not become common practice in sports training so far. In this lecture, I discuss how information retrieval methods can be applied to measurement data from inertial sensing devices for the provision of ubiquitous motion feedback. In particular, I will illustrate a system for the assessment and rating of motion performance and style. This mobile, computer-directed motion feedback application is subject to four main procedural stages. First, numeric motion data for subsequent machine data processing are collected from the inertial sensors. Second, the information content of the acquired motion data is augmented to provide accurate and reliable kinematic motion information. Third, the augmented motion data are transformed so that meaningful data representations are created. Lastly, artificial motion knowledge is learned and then utilized to enable the retrieval of relevant motion information for feedback provision to the user. Every computational stage is illustrated with practical motion data from ski jumping, and can serve for other sports in a similar way. Offering the possibility for automated analysis of a motion performance, this work constitutes an important contribution to the implementation of future training and motion feedback software tools. For judging-based sports, the presented intelligent style assessment could furthermore provide fundamental and unique information to increase objectivity and measurability of the final competition scores.


Heike Brock is a PhD candidate at the Graduate School of Media and Governance, Keio University, Japan. Her research interests focus on the development of motion information retrieval technologies for motion feedback tools from wearable sensor data. Amongst others, she has developed a strategy for the automatic assessment of motion style in ski jumping, for which she was awarded the adidas Best Student Paper Award at the 11th International Conference of Sport Engineering in July 2016.

Heike received a M.Sc. in Visual Computing from Saarland University (Saarbruecken, Germany) in 2011 and a B.Eng in Audiovisual Media from Stuttgart Media University (Stuttgart, Germany) in 2008. During her master studies, she was a student assistant in the Multimedia Information Retrieval Group in the Cluster of Excellence for Multimodal Computing and Interaction (MMCI) at the Max-Planck Institute of Informatics, Department 4 Computer Graphics. Before coming to Japan, Heike was a research member at the Institute of Sport Science at Leibniz University Hannover, Germany. There, she implemented a wearable movement sonification system for use in motor learning and rehabilitation. Currently, Heike is a scholar of the DAAD and the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT).


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