@inproceedings{5d12ce89253c4632ae7500fbe5bbf73c,
title = "Towards recognizing Tai Chi - an initial experiment using wearable sensors",
abstract = "Inexpensive wearable sensors are well-suited for the automatic recognition of many activities occuring in everyday life. But what about fast and involved movements such as those occuring in athletic sports? We tackle this question by studying the feasibility of using body-worn gyroscopes and acceleration sensors to recognize Tai Chi movements. To this end, we conducted an initial experiment with eight sensors each affixed to four different persons who repeatedly performed three distinct Tai Chi movements. The resulting data confirm that standard thresholding and pattern-matching techniques should suffice to automate the analysis and recognition of the movements. Moreover, the data also seem to allow for distinguishing between certain levels of expertise and quality in executing the movements.",
author = "Kai Kunze and Michael Barry and Heinz, {Ernst A.} and Paul Lukowicz and Dennis Majoe and J{\"u}rg Gutknecht",
year = "2006",
language = "English",
series = "IFAWC 2006 - 3rd International Forum on Applied Wearable Computing 2006, Proceedings",
publisher = "VDE Verlag GmbH",
pages = "183--188",
editor = "Otthein Herzog and Holger Kenn and Michael Lawo and Paul Lukowicz and Gerhard Troster",
booktitle = "IFAWC 2006 - 3rd International Forum on Applied Wearable Computing 2006, Proceedings",
address = "Germany",
note = "3rd International Forum on Applied Wearable Computing 2006, IFAWC 2006 ; Conference date: 15-03-2006 Through 16-03-2006",
}