Publication

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2020

1.

Yuuki Nishiyama, Denzil Ferreira, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki

Using IOS for Inconspicuous Data Collection: A Real-World Assessment Inproceedings Self Archive

In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, pp. 261–266, Association for Computing Machinery, Virtual Event, Mexico, 2020, ISBN: 9781450380768.

Abstract | BibTeX | Tags: Effective Data Collection, iOS, Mobile Crowd sensing, Mobile Sensing Toolkit, Real-world Assessment | Links:

2.

Yuuki Nishiyama, Denzil Ferreira, Yusaku Eigen, Wataru Sasaki, Tadashi Okoshi, Jin Nakazawa, Anind K Dey, Kaoru Sezaki

iOS Crowd-Sensing Won't Hurt a Bit!: AWARE Framework and Sustainable Study Guideline for iOS Platform Inproceedings Self Archive

In: Streitz, Norbert, Konomi, Shiníchi (Ed.): Distributed, Ambient and Pervasive Interactions, pp. 223–243, Springer International Publishing, Cham, 2020, ISBN: 978-3-030-50344-4.

Abstract | BibTeX | Tags: Data Collection Rate, Guideline, iOS, Mobile Sensing Framework, Sustainable Sensing | Links:

3.

西山勇毅, 佐々木航, 栄元優作, 本木悠介, 大越匡, 中澤仁, 瀬崎薫

In-the-Wild実験におけるiOS用モバイルセンシングフレームワークの性能評価 Inproceedings

In: 電子情報通信学会技術研究報告: 信学技報, pp. 127-132, ライフインテリジェンスとオフィス情報システム(LOIS) 電子情報通信学会, 大濱信泉記念館(石垣島), 2020, ISSN: 0913-5685.

Abstract | BibTeX | Tags: AWARE, In-the-Wildセンシング, iOS, ガイドライン, センシング基盤, フレームワーク, モバイルセンシング | Links: