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アイテム

  1. シンポジウム
  2. シンポジウムシリーズ
  3. マルチメディア、分散、協調とモバイルシンポジウム(DICOMO)
  4. 2019

Preliminary Investigation on Recognizing Environment-dependent Human Actions using a Fusion of Wi-Fi Based Place Clustering and Motif Detection from Accelerometer Data

https://ipsj.ixsq.nii.ac.jp/records/202380
https://ipsj.ixsq.nii.ac.jp/records/202380
a0bc8d27-8590-40b0-a14b-2932cba46a10
名前 / ファイル ライセンス アクション
IPSJ-DICOMO2019107.pdf IPSJ-DICOMO2019107.pdf (2.9 MB)
Copyright (c) 2019 by the Information Processing Society of Japan
オープンアクセス
Item type Symposium(1)
公開日 2019-06-26
タイトル
タイトル Preliminary Investigation on Recognizing Environment-dependent Human Actions using a Fusion of Wi-Fi Based Place Clustering and Motif Detection from Accelerometer Data
タイトル
言語 en
タイトル Preliminary Investigation on Recognizing Environment-dependent Human Actions using a Fusion of Wi-Fi Based Place Clustering and Motif Detection from Accelerometer Data
言語
言語 eng
キーワード
主題Scheme Other
主題 ウェアラブルコンピューティング
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_5794
資源タイプ conference paper
著者所属
Graduate School of Information Science and Technology, Osaka University
著者所属
Graduate School of Information Science and Technology, Osaka University
著者所属
Graduate School of Information Science and Technology, Osaka University
著者名 Thilina, Dissanayake

× Thilina, Dissanayake

Thilina, Dissanayake

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Takuya, Maekawa

× Takuya, Maekawa

Takuya, Maekawa

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Takahiro, Hara

× Takahiro, Hara

Takahiro, Hara

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著者名(英) Thilina, Dissanayake

× Thilina, Dissanayake

en Thilina, Dissanayake

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Takuya, Maekawa

× Takuya, Maekawa

en Takuya, Maekawa

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Takahiro, Hara

× Takahiro, Hara

en Takahiro, Hara

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論文抄録
内容記述タイプ Other
内容記述 This paper presents a novel method to estimate a location label of a user using sensor data from his/her smart devices (smartwatch and smartphone) without using labeled training data collected in his/her environments. Specifically, we attempt to predict the user's location semantics, i.e., location classes such as restroom and meeting room. We propose a novel matrix operation method that automatically finds acceleration data motifs specific to a certain location class, e.g., brushing teeth action observed at bathroom, based on the idea of Gini coefficient. We evaluated the proposed method in 4 real environments.
論文抄録(英)
内容記述タイプ Other
内容記述 This paper presents a novel method to estimate a location label of a user using sensor data from his/her smart devices (smartwatch and smartphone) without using labeled training data collected in his/her environments. Specifically, we attempt to predict the user's location semantics, i.e., location classes such as restroom and meeting room. We propose a novel matrix operation method that automatically finds acceleration data motifs specific to a certain location class, e.g., brushing teeth action observed at bathroom, based on the idea of Gini coefficient. We evaluated the proposed method in 4 real environments.
書誌情報 マルチメディア,分散協調とモバイルシンポジウム2019論文集

巻 2019, p. 770-776, 発行日 2019-06-26
出版者
言語 ja
出版者 情報処理学会
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Thilina, Dissanayake, Takuya, Maekawa, Takahiro, Hara, 2019: 情報処理学会, 770–776 p.

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