| Item type |
SIG Technical Reports(1) |
| 公開日 |
2019-08-19 |
| タイトル |
|
|
タイトル |
Evaluating the Use of a Dialogue System For Activity Data Collection |
| タイトル |
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言語 |
en |
|
タイトル |
Evaluating the Use of a Dialogue System For Activity Data Collection |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
認識 |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
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|
Kyushu Institute of Technology |
| 著者所属 |
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|
Kyushu Institute of Technology |
| 著者所属 |
|
|
|
Kyushu Institute of Technology |
| 著者所属(英) |
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|
en |
|
|
Kyushu Institute of Technology |
| 著者所属(英) |
|
|
|
en |
|
|
Kyushu Institute of Technology |
| 著者所属(英) |
|
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|
en |
|
|
Kyushu Institute of Technology |
| 著者名 |
Tittaya, Mairittha
Nattaya, Mairittha
Sozo, Inoue
|
| 著者名(英) |
Tittaya, Mairittha
Nattaya, Mairittha
Sozo, Inoue
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The annotation of human activity is the essential process for human activity recognition system. The problem was that annotation systems require cumbersome equipment which deprives their use. This paper presents a method to collect training labels for human activity recognition by using a dialogue system. The experiments were carried to predict users' activity and provided valuable insights on how users interact with the system. The evaluation shows that the dialogue system can collect data efficiently by achieving the highest precision, recall, and F1 score is 0.78 and 0.75 and 0.76, respectively. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
The annotation of human activity is the essential process for human activity recognition system. The problem was that annotation systems require cumbersome equipment which deprives their use. This paper presents a method to collect training labels for human activity recognition by using a dialogue system. The experiments were carried to predict users' activity and provided valuable insights on how users interact with the system. The evaluation shows that the dialogue system can collect data efficiently by achieving the highest precision, recall, and F1 score is 0.78 and 0.75 and 0.76, respectively. |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA1271737X |
| 書誌情報 |
研究報告高齢社会デザイン（ASD）
巻 2019-ASD-15,
号 1,
p. 1-4,
発行日 2019-08-19
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| ISSN |
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収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2189-4450 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJ-ASD19015001.pdf (639.8 kB)
