カンファレンス (国内) 活動量計テータを用いた同行検出手法の研究

川尻 亮真(東京大学), 坪内 孝太, 荒木 青伊良(東京大学), 下坂 正倫(東京大学)

2014年度人工知能学会全国大会(第28回) (JSAI2014)


This paper proposes an innovative way to detect working relationships by using only the step tracking data acquired from pedometers like Fitbit. The idea makes the cost of working-relationship detection much lower than that of previous approaches. We can find out if people have a working relationship and spend their daily lives together by making them wear a pedometer. Results of an experiment in Japan showed that this approach is very effective and practical. An organizations profile can be written automatically by analyzing the data in correctly.

PDF : 活動量計テータを用いた同行検出手法の研究