The workshop proceedings are available at: https://dl.acm.org/citation.cfm?id=3347318
Athletic endeavors, both at amateur and professional level, have a tremendous economic, political and cultural influence on our society. Recreational sportsmen of all ages actively and passively pursue an astonishing variety of sports for joy, health, stress relieve, or building relationships within communities. Thanks to the prevalence of television and internet, we actively consume sporting events even if not physically involved in sports ourselves.
The influence of rapidly developing technologies has changed the way of how we participate, watch, understand and research sports. For example, television broadcasts augment live video footage with computer vision-based graphics in real time to emphasize different aspects of a game or performance and assist focus and understanding of viewers. The astonishing impact of wearables within the last years plays a pivotal role in how we pursue and evaluate our personal training goals. In a professional setting, coaches and training scientists directly benefit from the latest technological research, reshaping the way we think about improving the performance and technique of athletes, understand sport injuries or enhance the qualitative and quantitative analyses of performances.
While research fields like computer vision, sensor technology, machine learning and data driven approaches recently made huge advancements and have massively influenced many aspects of sports, the joint assessment of multiple modalities for sport technologies offers appealing innovations to advance the field. For example, audio-visual cues are used for classifying different sport types or performing crowed sentiment analyses. Computer vision systems using high-speed camera arrays generate performance coefficients and perform technical game analyses, while force predictions from force plates and wearable sensors can be utilized to predict impending injuries.
Workshop History:
1st International ACM Workshop on Multimedia Content Analysis in Sports (ACM MMSports'18)