7 Papers
39 Citations
Bo Hu is an academic researcher from University of Southampton. The author has contributed to research in topics: Usability engineering & Wireless sensor network. The author has an hindex of 6, co-authored 7 publications. Previous affiliations of Bo Hu include Fujitsu.
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Papers
Ontology-based ubiquitous monitoring and treatment against depression
Bin Hu,Bo Hu,Jizheng Wan,Majoe Dennis,Hsiao-Hwa Chen,Lian Li,Qingguo Zhou +6 more
- 01 Oct 2010
TL;DR: The proposed framework to facilitate online CBT, for treating depression at the current stage, is implemented, which combines together talk-chat-messaging services, helps in retrieving neurofeedback, and supports collaborative diagnosis when necessary.
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•Journal Article
Nintendo wii remote controller in higher education: development and evaluation of a demonstrator kit for e-teaching
TL;DR: The importance of gestures for teaching is discussed and the design and development of a low-cost demonstrator kit based on Wiimote enhancing the quality of the lecturing with gestures is described.
Safe river water: A ubiquitous and collaborative water quality monitoring solution
TL;DR: A distributed data analysis algorithm is presented, Infinitesimal Dividing and Analysis, to efficiently locate pollution sources with data gathered from a ubiquitous wired/wireless sensor network and elaborate on a @p-calculus based paradigm to enhance collaboration and interaction among individual monitoring stations.
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Towards life long learning: three models for ubiquitous applications
Andreas Holzinger,Alexander K. Nischelwitzer,Silvia Friedl,Bo Hu +3 more
- 01 Oct 2010
TL;DR: The main outcome of this research is that the concept of UCF raises a lot of possibilities, which can bring value and benefits for end-users, thereby providing evidence that technology can benefit everybody and make life easier.
UWMAIS: ubiquitous water monitoring platform
TL;DR: A distributed data analysis algorithm is presented, Infinitesimal Dividing and Analysis, to efficiently locate pollution sources with data gathered from a ubiquitous wired/wireless sensor network and elaborate on a π-calculus based paradigm to enhance collaboration and interaction among individual monitoring stations.
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