Journals
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Inproceedings
[I1]
Takuro Yonezawa, Yuuki Nishiyama, Kei Hiroi, Nobuo Kawaguchi
Capturing Subjective Time as Context and It’s Applications (Poster) Inproceedings
In: Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services, pp. 647–648, Association for Computing Machinery, Seoul, Republic of Korea, 2019, ISBN: 9781450366618.
@inproceedings{10.1145/3307334.3328719,
title = {Capturing Subjective Time as Context and It’s Applications (Poster)},
author = {Takuro Yonezawa and Yuuki Nishiyama and Kei Hiroi and Nobuo Kawaguchi},
url = {https://doi.org/10.1145/3307334.3328719},
doi = {10.1145/3307334.3328719},
isbn = {9781450366618},
year = {2019},
date = {2019-01-01},
booktitle = {Proceedings of the 17th Annual International Conference on Mobile Systems, Applications, and Services},
pages = {647–648},
publisher = {Association for Computing Machinery},
address = {Seoul, Republic of Korea},
series = {MobiSys ’19},
abstract = {We propose an integrated framework for sensing, recognizing and utilizing of subjective time as context. Various studies on experimental psychology have showed several factors which affects subjective time. Those factors should be partially captured by ubiquitous sensors such as smartphones and wearable devices, therefore, we tackle to create common and individual model for subjective time based on the sensor data. We report our first prototype implementation for the framework based on AWARE framework with adding experience sampling method for subjective time recognition. In addition, we discuss potential applications which leveraging advantages of subjective time as context.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
We propose an integrated framework for sensing, recognizing and utilizing of subjective time as context. Various studies on experimental psychology have showed several factors which affects subjective time. Those factors should be partially captured by ubiquitous sensors such as smartphones and wearable devices, therefore, we tackle to create common and individual model for subjective time based on the sensor data. We report our first prototype implementation for the framework based on AWARE framework with adding experience sampling method for subjective time recognition. In addition, we discuss potential applications which leveraging advantages of subjective time as context.
Domestic Conference
[D1]
西山勇毅, 瀬崎薫
スマートフォンを用いたベビーカーのコンテキスト検知に向けた一検討 Conference
電子情報通信学会総合大会(オンライン), 電子情報通信学会, 2022.
@conference{ieice2022,
title = {スマートフォンを用いたベビーカーのコンテキスト検知に向けた一検討},
author = {西山勇毅 and 瀬崎薫},
url = {https://www.ieice-taikai.jp/2022general/jpn/index.html},
year = {2022},
date = {2022-03-01},
urldate = {2022-03-01},
booktitle = {電子情報通信学会総合大会(オンライン)},
publisher = {電子情報通信学会},
abstract = {ベビーカーは,子供がいる家庭の約70%が所有し,週に一回以上利用する家庭は73.8%であると報告されるなど,保有率・利用率ともに高い.ベビーカーは乳幼児を運搬するため,安全性と快適性が高く求められるが,街中・施設内において安全・快適な走行・滞在可能なルートや場所,時間を手軽に知ることは難しい.これらの情報を検知することで,様々な応用アプリケーションを実現できる.そこで本稿では,スマートフォンを用いたベビーカー移動時の急停止や段差との衝突,路面状態といったベビーカー移動に関するコンテキスト検知の可能性を調査し,その結果を報告する.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
ベビーカーは,子供がいる家庭の約70%が所有し,週に一回以上利用する家庭は73.8%であると報告されるなど,保有率・利用率ともに高い.ベビーカーは乳幼児を運搬するため,安全性と快適性が高く求められるが,街中・施設内において安全・快適な走行・滞在可能なルートや場所,時間を手軽に知ることは難しい.これらの情報を検知することで,様々な応用アプリケーションを実現できる.そこで本稿では,スマートフォンを用いたベビーカー移動時の急停止や段差との衝突,路面状態といったベビーカー移動に関するコンテキスト検知の可能性を調査し,その結果を報告する.
Book Chapters
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