| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-03-21 |
| タイトル |
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タイトル |
HASC Challenge: Gathering Large Scale Human Activity Corpus for the Real-World Activity Understandings |
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言語 |
en |
| 著者 |
河口, 信夫
小川, 延宏
岩崎, 陽平
梶, 克彦
寺田, 努
村尾, 和哉
井上, 創造
川原, 圭博
角, 康之
西尾, 信彦
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| 著作権関連情報 |
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権利情報 |
Copyright (c) ACM 2011. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in AH '11: Proceedings of the 2nd Augmented Human International Conference, http://dx.doi.org/10.1145/1959826.1959853. |
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言語 |
ja |
| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Understandings of human activity through wearable sensors will enable the next-generation human-oriented computing. However, most of researches on the activity recognition so far are based on small number of test subjects, and not well adapted for real world applications. To overcome the situation, we have started a project named HASC Challenge" to collect a large scale human activity corpus. By the end of 2010, by the collaboration of 20 teams, more than 6700 accelerometer data with 540 subjects have been collected through our project. We also developed a tool named "HASC Tool" for management, evaluation and collection of the large number of activity sensor data." |
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言語 |
en |
| 備考 |
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内容記述タイプ |
Other |
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内容記述 |
AH '11: 2011 2nd Augmented Human International Conference, 13 March, 2011, Tokyo Japan |
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言語 |
en |
| 書誌情報 |
号 27,
p. 1-5,
発行日 2011-03-13
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| 出版社 |
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出版者 |
ACM |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
| 出版タイプ |
|
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| DOI |
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|
識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1145/1959826.1959853 |
| 会議記述 |
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会議名 |
AH '11: 2011 2nd Augmented Human International Conference |
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言語 |
en |
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回次 |
2 |
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開始年 |
2011 |
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開始月 |
03 |
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開始日 |
13 |
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終了年 |
2011 |
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終了月 |
03 |
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終了日 |
13 |
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開催国 |
JPN |
| 査読の有無 |
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値 |
yes |
| 研究者情報 |
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URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/140_ja.html |
| 論文ID(連携) |
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値 |
10218442 |
| 連携ID |
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値 |
9503 |