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模擬滝と日常生活活動

模擬滝と日常生活活動

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Multiclass Classification,Binary Classification Classification

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    README.md

    要約 17人のボランティアが、頭、胸、腰、手首、太もも、足首に取り付けた6つのセンサーを装着した状態で、20種類の転倒と16種類の日常生活行動をそれぞれ5回ずつ行いました(3,060事例)。データセットの説明やデータセットを操作するのに役立つその他の重要な情報については、添付の.docxファイルを参照してください。 引用依頼 ?zdemir, A. T. および Barshan, B.,「機械学習技術を用いたウェアラブルセンサーによる転倒検出」,Sensors 2014年,14巻,10691 - 10708頁 UCI機械学習リポジトリにも投稿 https://archive.ics.uci.edu/ml/datasets/Simulated+Falls+and+Daily+Living+Activities+Data+Set
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