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Aromug: Mug-type Olfactory Interface to Assist in Reducing ..:
, In:
Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers
,
Mayumi, Daiki
;
Nakamura, Yugo
;
Matsuda, Yuki
.. - p. 183-187 , 2022
Link:
https://dl.acm.org/doi/10.1145/3544793.3563402
RT T1 <cTitle>Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers</cTitle>: T1 <Title>Aromug: Mug-type Olfactory Interface to Assist in Reducing Sugar Intake</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3563402&Exemplar=1&LAN=DE A1 Mayumi, Daiki A1 Nakamura, Yugo A1 Matsuda, Yuki A1 Misaki, Shinya A1 Yasumoto, Keiichi PB ACM YR 2022 K1 Motion sensing K1 Olfactory interface K1 Sugar intake reduction K1 Sweetness amplification K1 Human-centered computing K1 Ubiquitous and mobile computing K1 Human computer interaction (HCI) SP 183 OP 187 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3544793.3563402 DO https://dl.acm.org/doi/10.1145/3544793.3563402 SF ELIB - SuUB Bremen
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