Senbay : a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream
Nishiyama, Yuuki; Dey, Anind K.; Ferreira, Denzil; Yonezawa, Takuro; Nakazawa, Jin (2018-09-03)
Yuuki Nishiyama, Anind K. Dey, Denzil Ferreira, Takuro Yonezawa, and Jin Nakazawa. 2018. Senbay: a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream. In Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI '18). ACM, New York, NY, USA, 291-291. DOI: https://doi.org/10.1145/3236112.3236154
© Copyright held by the owner/author(s). This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MobileHCI '18 Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, http://dx.doi.org/10.1145/3236112.3236154.
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https://urn.fi/URN:NBN:fi-fe2019050614427
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Abstract
The spread of smartphones allows us to freely capture video and diverse hardware sensors’ data (e.g., accel erometer, gyroscope). While recording such data is relatively simple, it is often challenging to share and restream this data to other people and applications. Such capability is very valuable for a range of applications such as a context-aware prototyping/developing platform, an integrated data recording and analysis tool, and a sensor-data based video editing system. To enable such complex operations, we propose Senbay, a platform for instant sensing, integrating, and restreaming multiple-sensor data streams. The platform embeds collected sensor data into a video frame using an animated two-dimensional barcode via real-time video processing. The video-embedded sensor data, dubbed Senbay Video, can be easily restreamed to other people and reused by data rich, context-aware applications.
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