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Senbay: a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream

Published: 03 September 2018 Publication History

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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  • (2019)Predicting Visitor Distribution for Large Events in Smart Cities2019 IEEE International Conference on Big Data and Smart Computing (BigComp)10.1109/BIGCOMP.2019.8679181(1-8)Online publication date: Feb-2019
  1. Senbay: a platform for instantly capturing, integrating, and restreaming of synchronized multiple sensor-data stream

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        cover image ACM Conferences
        MobileHCI '18: Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
        September 2018
        445 pages
        ISBN:9781450359412
        DOI:10.1145/3236112
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 03 September 2018

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        Author Tags

        1. data restreaming
        2. extensible platform
        3. multiple sensor-data streams
        4. sensor-data embedded video

        Qualifiers

        • Demonstration

        Funding Sources

        • Academy of Finland
        • Keio University Research Grant
        • Marie Sk?odowska-Curie Actions

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        MobileHCI '18
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        Overall Acceptance Rate 202 of 906 submissions, 22%

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        • (2019)Predicting Visitor Distribution for Large Events in Smart Cities2019 IEEE International Conference on Big Data and Smart Computing (BigComp)10.1109/BIGCOMP.2019.8679181(1-8)Online publication date: Feb-2019

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