The „Wearables for Sports“ Workshop took place on Monday, September 12 at UBICOMP 2016 and was very successful. The presented papers were very interesting and engaging and lead to an informative discussion about the future of wearables in sports.
The participants spilt into two groups, the Innovation Camp and the IMU Playground, in order to develop concepts and implement solutions respectively. The resulting posters and their presentations and demonstrations were a great success. The workshop coordinators thank all participants for their input and inspiration.
The winners of the prepared talks and papers as well as the demos and ideas are as follows:
Best Presentation Award:
E-Archery: Prototype Wearable for Analyzing Archery Release, Yiran Zhao, Kevin Curtin, Shanu Salunke, Nghia Huynh, Alexander Leavitt, Clint Zeagler
Supporting Safety in Cycling Groups using LED-Augmented Gestures (runner-up), Nils Kräuter, Lisa Schwering, Stefan Lösung, Matthias Seuter, Gernot Bauer
SVM - Smart Volleyball Movement (winner), Marcus Schmidt, Jennifer Maier, Ben Groh, Dominik Schuldhaus, Markus Zrenner
Pain management (second place), Stefan Lösing, Nils Kräuter, Lisa Schwering, Matthias Seuter, Erik Pescara
Smart table tennis (third place), Peter Blank, Robert Richer
Wearables are becoming mainstream technology, however there is still room for improvement in the sports domain of this field. Monitoring performance and collecting large scale data are of high interest among athletes - amateurs and professionals alike. The current state-of-the art wearable solutions for sports analysis are able to provide individual statistics to the user, however they have shortcomings in certain aspects, such as isolating and visualizing important information for the user, beyond statistics. This workshop focuses on the application of wearable technology in sports. We will explore novel ideas and application scenarios of how sensors and actuators are capable of supporting athletes in monitoring and improving their performance. We will discuss the design space of the domain by bringing together experts from various communities and exchanging ideas from different perspectives on wearables for sports applications. Participants will collaboratively produce sports related prototype applications.
The aim of the workshop is to enable participants to collaboratively design and implement their own solutions for wearable systems in the sports domain. The participants will be guided through the development of a mobile application which uses data from external IMMU sensors. With this hands-on workshop, researchers can learn how to create an individualized wearable system for their ongoing or future projects. For practitioners, the skillset that is conveyed in the workshop may become a valuable basis for product development and prototyping. Moreover, by bringing together participants with a variety of backgrounds and goals, the workshop provides a platform for interdisciplinary cooperation and networking.
Topics included (not limited to)
If possible please bring a laptop with the current Android Studio IDE (Version 2.1: link) as well as a smartphone using Android 5 or higher.
We invite papers of 2 to 4 pages in the SIGCHI Extended Abstract format (Word | LaTeX). The paper should motivate and present a novel concept for the wearables for the sports domain. We encourage the inclusion of initial prototypes and research results.
Although the hands-on session will be limited in scope and hardware, the paper may present an idea of a much broader scope. In these cases the papers can be used as inspiration for a proof of concept application to be built at the workshop.
Papers undergo a double-blind review process. Anonymized papers should be submitted using the electronic submission system available on the website (Submission Tool).
Accepted papers presenting research will be included in the ACM Digital Library. Papers which outline an idea will serve to reserve a place in the workshop presentations, however will not be included in the ACM Digital Library.
Timezone: HAST (Hawaii-Aleutian Standard Time UTC-10)
|June 28, 2016||Author Notification|
|July 5, 2016||Submission of Camera-Ready Version|
|September 12, 2016||Workshop in Heidelberg, Germany|
|09:45||Wearable User Feedback on Weight Distribution in Snowboarding (talk)|
|09:52||DailyHeart - A Unobtrusive Cardiac Feedback System for Long Term Monitoring in Healthcare and Sports (talk)|
|09:59||Reaction Training for Sports: Adaption of an Existing Balance Exergame (talk)|
|10:06||Measures for collaborative running (talk)|
|10:13||Comprehensive Running Analysis using 6D-Inertial Measurement Units (talk)|
|10:20||Virtual and Augmented Reality in Sports - An Overview and Acceptance Study (talk)|
|11:00||Supporting Safety in Cycling Groups using LED-Augmented Gestures (talk)|
|11:10||Monitoring of biomarkers in sweat with printed sensors combined with sport wearables (talk)|
|11:20||IMU- based determination of fatigue during long sprint (talk)|
|11:30||miPod 2 - A New Hardware Platform for Embedded Real-Time Processing in Sports and Fitness Applications (talk)|
|11:40||Live-Feedback from the IMUs: Animated 3D Visualization for Everyday-Exercising (talk)|
|11:50||E-Archery: Prototype Wearable for Analyzing Archery Release (talk)|
|12:00||Discussion: Wearables in Sports|
|14:00||Presenting Framework and Hardware|
|14:30||Innovation Camp / IMU Playground|
|16:00||Innovation Camp / IMU Playground|
|18:00||Poster presentations: Developed Concepts and Systems|
|18:45||Award Ceremony / Feedback|
|19:00||End of Workshop|
Computer scientist cross biomedical and mechatronics engineer. Research interests include robust algorithms for "in the wild " data.
Research interests encompass human- computer interaction and ubiquitous computing with a focus on wearable computer systems and pervasive computing.
Research interests in ubiquitous computing (UbiComp) and human-computer interaction (HCI). His particular interests are in wearable computing and smart garments.
Research interests in data fusion and IMMU- based signal processing with the focus on orientation de- termination for localization, biomechanical analysis and classification in sports.
Research topics include the assess- ment of physical activity in sports and health, data mining for activity recognition challenges and Big Data analytics in activity recognition.
Research interests include hardware development for sports and fitness applications as well as design and implementation of embedded sensor systems.
Research interests include IMMU-based activity recognition and position tracking in sports as well as epilepsy monitoring using wearable sensors.
Research interests include machine learning, biomedical signal processing and the assessment of biomechanical parameters for sports related services.
Assistant Professor for Computer Science in Sports (endowed professorship of the adidas AG) and head of the Digital Sports Group at the Pattern Recog- nition Lab of the FAU. Prof. Dr. Eskofier has authored more than 100 peer reviewed articles and submitted 5 patent ap- plications.