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- research-articleJuly 2022
Museum Guidance in Sign Language: the SignGuide project
- Dimitrios Kosmopoulos,
- Constantinos Constantinopoulos,
- Maria Trigka,
- Dimitrios Papazachariou,
- Klimis Antzakas,
- Venetta Lampropoulou,
- Antonis Argyros,
- Iason Oikonomidis,
- Anastasios Roussos,
- Nikolaos Partarakis,
- Georgios Papagiannakis,
- Konstandinos Grigoriadis,
- Angeliki Koukouvou,
- Angeliki Moneda
PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive EnvironmentsPages 646–652https://doi.org/10.1145/3529190.3534718We present an overview of the SignGuide project. Its main goal is to develop a prototype interactive museum guide system for deaf visitors using mobile devices that will be able to receive visitors’ questions in their native (sign language) with regard ...
- research-articleApril 2012
Localization and Classification through Adaptive Pathway Analysis
IEEE Pervasive Computing (IEEECS_PERVASIVE), Volume 11, Issue 2Pages 74–81https://doi.org/10.1109/MPRV.2010.68Evaluating user-generated spatiotemporal pathway data helps determine both the present and future location of museum visitors. The PhoneGuide adaptive mobile museum guidance system shows how this approach improves classification performance and achieves ...
- research-articleJuly 2008
Mobile Phone-Enabled Museum Guidance with Adaptive Classification
IEEE Computer Graphics and Applications (ICGA), Volume 28, Issue 4Pages 98–102https://doi.org/10.1109/MCG.2008.77We present an overview of our adaptive museum guidance system called PhoneGuide. It uses camera-equipped mobile phones for on-device object recognition in ad-hoc sensor networks and provides location and object aware multimedia content to museum ...
- ArticleDecember 2005
PhoneGuide: museum guidance supported by on-device object recognition on mobile phones
MUM '05: Proceedings of the 4th international conference on Mobile and ubiquitous multimediaPages 3–10https://doi.org/10.1145/1149488.1149490We present PhoneGuide -- an enhanced museum guidance system that uses camera-equipped mobile phones and on-device object recognition.Our main technical achievement is a simple and light-weight object recognition approach that is realized with single-...