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    題名: Estimation and evaluation of body language in a presentation scenario using RGBD data
    作者: 廖文宏
    Wu, Yi Chieh
    Liao, Wenhung
    貢獻者: 資訊科學系
    關鍵詞: Animation;Classification (of information);Computational linguistics;Intelligent systems;Personnel training;Audio processing;Body language;Evaluation results;Facial Expressions;Kinect sensors;performance evaluation;Presentation style;Skeletal joints;Intelligent control
    日期: 2015
    上傳時間: 2017-08-10 15:16:38 (UTC+8)
    摘要: In this research, we capture body movements, facial expressions, and voice data of subjects in the presentation scenario using RGBD-capable Kinect sensor. The acquired videos were accessed by a group of reviewers to indicate their preferences/aversions to the presentation style. We denote the two classes of ruling as Period of Like (POL) and Period of Dislike (POD), respectively. We then employ three types of image features, namely, animation units (AU), skeletal joints, and 3D face vertices to analyze the consistency of the evaluation result, as well as the ability to classify unseen footage based on the training data supplied by 35 evaluators. Finally, we develop a prototype program to help users to identify their strength/weakness during their presentation so that they can improve their skills accordingly. © 2015 The authors and IOS Press. All rights reserved.
    關聯: Frontiers in Artificial Intelligence and Applications, 274, 1213-1222
    International Computer Symposium, ICS 2014; Taichung; Taiwan; 12 December 2014 到 14 December 2014; 代碼 111725
    資料類型: conference
    DOI 連結: http://dx.doi.org/10.3233/978-1-61499-484-8-1213
    DOI: 10.3233/978-1-61499-484-8-1213
    顯示於類別:[資訊科學系] 會議論文

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