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pro vyhledávání: '"Quigley, Aaron J"'
Autor:
Hu, Yongquan, Zhang, Shuning, Dang, Ting, Jia, Hong, Salim, Flora D., Hu, Wen, Quigley, Aaron J.
Integrating physiological signals such as electroencephalogram (EEG), with other data such as interview audio, may offer valuable multimodal insights into psychological states or neurological disorders. Recent advancements with Large Language Models
Externí odkaz:
http://arxiv.org/abs/2408.07313
Surface sensing is widely employed in health diagnostics, manufacturing and safety monitoring. Advances in mobile sensing affords this potential for context awareness in mobile computing, typically with a single sensing modality. Emerging multimodal
Externí odkaz:
http://arxiv.org/abs/2408.07311
Autor:
Weerasinghe, Maheshya, Biener, Verena, Grubert, Jens, Quigley, Aaron J, Toniolo, Alice, Pucihar, Klen Čopič, Kljun, Matjaž
Learning vocabulary in a primary or secondary language is enhanced when we encounter words in context. This context can be afforded by the place or activity we are engaged with. Existing learning environments include formal learning, mnemonics, flash
Externí odkaz:
http://arxiv.org/abs/2207.00896
Autor:
Quigley, Aaron J., Bodea, Florin
Publikováno v:
In Human-Centric Interfaces for Ambient Intelligence 2010:3-32
Publikováno v:
UIST
The Skweezee System is an easy, flexible and open system for designing and developing squeeze-based, gestural interactions. It consists of Skweezees, which are soft objects, filled with conductive padding, that can be deformed or squeezed by applying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a6551f97b0a68fb77a51d9b5e28e2e2
https://doi.org/10.1145/2501988.2502033
https://doi.org/10.1145/2501988.2502033