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A Meeting Log Structuring System Using Wearable Sensors

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Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT,volume 22)


We propose a system that structures a meeting log by detecting and tagging the participants’ actions in the meeting using acceleration sensors. The proposed system detects head movement such as nodding of each participant or motion during utterances by using acceleration sensors attached to the heads of all participants in a meeting. In addition, we developed a Meeting Review Tree, which is an application that recognizes a meeting participants’ utterances and three kinds of actions using acceleration and angular velocity sensors and tags them to recorded movies. In the proposed system, the structure of the meeting is hierarchized into three layers and tagged contexts as follows: The first layer represents the transition of the reporter during the meeting, the second layer represents changes in information of speakers in the report, and the third layer represents motions such as nodding. As a result of the evaluation experiment, the recognition accuracy of the stratified first layer was 57.0% and that of the second layer was 61.0%.


  • Logic Meeting
  • Head Motion Detection
  • Correct Answer Data
  • Utterance Label
  • Utterance Recognition

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  • DOI: 10.1007/978-3-319-98530-5_75
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This research was supported in part by a grant in aid for Precursory Research for Embryonic Science and Technology (PRESTO) from the Japan Science and by a grant in aid for Scientific Research (18H01059) from the Ministry of Education, Culture, Sports, Science and Technology.

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Correspondence to Tsutomu Terada .

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Ohnishi, A., Murao, K., Terada, T., Tsukamoto, M. (2019). A Meeting Log Structuring System Using Wearable Sensors. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham.

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