@inproceedings{oai:ipsj.ixsq.nii.ac.jp:00190941,
 author = {西川, 凜 and Thanh, Le Tien and Chinakrit, Lorpiyanon and 竹本, 正志 and Binh, Thi Thanh Huynh and 中條, 拓伯 and Rin, Nishikawa and Thanh, Le Tien and Chinakrit, Lorpiyanon and Masashi, Takemoto and Huynh, Thi Thanh Binh and Hironori, Nakajo},
 book = {組込みシステムシンポジウム2018論文集},
 month = {Aug},
 note = {酪農業界への就業人口は減少傾向にあり，効率化が求められている．そのためセンサなど IoT を応用して睡眠や反芻といった家畜の行動を分析し，健康状態を把握する研究が進められている．本論文では，酪牛の頸部に3軸加速度センサを装着し，取得したデータに wavelet 変換を用いて運動の特徴を抽出した．その際，wavelet 変換で得られたデータは次元数が多く計算負荷が大きいため，3 種類の次元数を減らす手法を検証した．, Since the number of farmers is decreasing, efficiency of farming has been required. For this reason, researches are underway to analyze behavior of livestock such as sleep and ruminant by applying an IoT technology to detect health condition of them. In this paper, we have set three-axies acceleration sensor on a neck of a cow to extract features of its movement using wavelet transformation. In addition, since data obtained by wavelet transformation has a large number of dimensions, we have verified three kinds of method to reduce these dimensions.},
 pages = {40--43},
 publisher = {情報処理学会},
 title = {IoTデバイスを用いた酪牛の行動検知・認識},
 volume = {2018},
 year = {2018}
}