Slackliner - An Interactive Slackline Training Assistant
In this paper we present Slackliner, an interactive slackline training assistant which features a life-size projection, skeleton tracking and real-time feedback. As in other sports, proper training leads to a faster buildup of skill and lessens the risk for injuries. We chose a set of exercises from slackline literature and implemented an interactive trainer which guides the user through the exercises and gives feedback if the exercise was executed correctly. A post analysis gives the user feedback about her performance. We conducted a user study to compare the interactive slackline training system with a classic approach using a personal trainer. No significant difference was found between groups regarding balancing time, number of steps and the walking distance on the line for the left and right foot. Significant main effects for the balancing time on line, without considering the group, have been found. User feedback acquired by questionnaires and semi-structured interviews was very positive. Overall, the results indicate that the interactive slackline training system can be used as an enjoyable and effective alternative to classic training methods.
Slackliner - An Interactive Slackline Training Assistant
Felix Kosmalla, Christian Murlowski, Florian Daiber, Antonio Krüger
Proceedings of the 26th ACM international conference on Multimedia (MM '18). ACM 2018
http://doi.acm.org/10.1145/3240508.3240537
https://www.dfki.de/web/forschung/projekte-publikationen/publikationen/publikation/10109/
Slackliner: Using Whole-body Gestures for Interactive Slackline Training
Florian Daiber, Felix Kosmalla, Christian Murlowski, Antonio Krüger
Proceedings of the Symposium on Spatial User Interaction (SUI '18), ACM 2018
https://doi.org/10.1145/3267782.3274691
https://www.dfki.de/web/forschung/projekte-publikationen/publikationen/publikation/10120/
Slackliner 2.0: Real-time Training Assistance through Life-size Feedback
Christian Murlowski, Florian Daiber, Felix Kosmalla, Antonio Krüger
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). ACM 2019
https://doi.org/10.1145/3290607.3313250
