@inproceedings{oai:kyutech.repo.nii.ac.jp:00004735,
 author = {Kawaguchi, Nobuo and Yang, Ying and Yang, Tianhui and Ogawa, Nobuhiro and Iwasaki, Yohei and Kaji, Katsuhiko and Terada, Tsutomu and Murao, Kazuya and Inoue, Sozo and 井上, 創造 and Kawahara, Yoshihiro and Sumi, Yasuyuki and Nishio, Nobuhiko},
 book = {Proceedings of the International Conference on Ubiquitous Computing 2011},
 month = {Sep},
 note = {Human activity recognition through the wearable sensor will enable a next-generation human-oriented biquitous computing. However, most of research on human activity recognition so far is based on small number of subjects, and non-public data. To overcome the situation, we have gathered 4897 accelerometer data with 116 subjects and compose them as HASC2011corpus. In the field of pattern recognition, it is very important to evaluate and to improve the recognition methods by using the same dataset as a common ground. We make the HASC2011corpus into public for the research community to use it as a common ground of the Human Activity Recognition. We also show several facts and results of obtained from the corpus., UbiComp '11 Proceedings of the 13th international conference on Ubiquitous computing, September 17-21, 2011, Beijing, China},
 pages = {571--572},
 publisher = {ACM Press},
 title = {HASC2011corpus: Towards the Common Ground of Human Activity Recognition},
 year = {2011},
 yomi = {イノウエ, ソウゾウ}
}