Source: Ryan Aylward, S. Daniel Lovell, and Joseph A. Paradiso. 2006. A Compact, Wireless, Wearable Sensor Network for Interactive Dance Ensembles. In Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks (BSN ’06). IEEE Computer Society, Washington, DC, USA, 65-70. DOI=http://dx.doi.org/10.1109/BSN.2006.1
Summary : The Article, „A Compact, Wireless, Wearable Sensor Network for Interactive Dance Ensembles“, shows their prototype to collect dance ensembles on body local dynamics, which can be transmitted in power-efficient real-time for musical feedback. Important is to keep their technology scale-able. Their should be a way to have at least more than 2 dancer being interactive with the stage. Furthermore they focus on body attached motion capture and not on computer vision. They use the nRF2401 radio to transmit the data wirelessly. Using that technology, they achieve a range of 50 feet and they are capable of 100Hz and 30Nodes. Their technology makes it possible to find simultaneously acting or call-response acting dancers and other group dynamics. They show some test-examples of their data and think about gesture classification, which will be as well part of future work.
Relevance for our project : The article shows, that the nRF seems to be quite useful technology. I am excited to see Lucas work with the Radio in the upcoming week. In our case the focus is not that much on Dance Ensembles, so we are not that much interested to collect that much data, but it might be useful for future future works, in a project, that succeeds our’s. If we work with gestures, their work of detecting those can be interesting.