Affective information processing
著者
書誌事項
Affective information processing
Springer, c2009
- hbk
- ebook
大学図書館所蔵 全2件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Affective information processing assigns computers the human-like capabilities of observation, interpretation and generation of affect features. It is an important topic for harmonious human-computer interaction, by increasing the quality of human-computer communication and improving the intelligence of the computer.
Discussing state of art of the research in affective information processing, this book summarises key technologies researched, such as facial expression recognition, face animation, emotional speech synthesis, intelligent agent, and virtual reality. The detailed discussion covers a wide range of topics including hot topics which look to challenge and improve current research work.
Written to provide an opportunity for scientists, engineers and graduate students to learn problems, solutions and technologies in the topic area, this book will provide insight and prove a valuable reference tool.
目次
Cognitive Emotion Models.- Affect and Emotions in Intelligent Agents: Why and How?.- Cognitive Emotion Modeling in Natural Language Communication.- A Linguistic Interpretation of the OCC Emotion Model for Affect Sensing from Text.- Affective Agents for Education Against Bullying.- Affect in Speech.- Emotion Perception and Recognition from Speech.- Expressive Speech Synthesis: Past, Present, and Possible Futures.- Emotional Speech Generation by Using Statistic Prosody Conversion Methods.- Affect in Face.- Why the Same Expression May Not Mean the Same When Shown on Different Faces or Seen by Different People.- Automatic Facial Action Unit Recognition by Modeling Their Semantic And Dynamic Relationships.- Face Animation Based on Large Audiovisual Database.- Affect in Multimodal Interaction.- Affect in Multimodal Information.- Nonverbal Feedback in Interactions.- Emotion Recognition Based on Multimodal Information.- A Multimodal Corpus Approach for the Study of Spontaneous Emotions.- Physiological Sensing for Affective Computing.- Evolutionary Expression of Emotions in Virtual Humans Using Lights and Pixels.
「Nielsen BookData」 より