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Journal ArticleDOI

Multimodal human-computer interaction: A survey

Alejandro Jaimes, +1 more
- 01 Oct 2007 - 
- Vol. 108, Iss: 1, pp 116-134
TLDR
This paper reviews the major approaches to multimodal human-computer interaction, giving an overview of the field from a computer vision perspective, and focuses on body, gesture, gaze, and affective interaction.
About
This article is published in Computer Vision and Image Understanding.The article was published on 2007-10-01. It has received 948 citations till now. The article focuses on the topics: Affective computing & Gesture recognition.

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Citations
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Journal ArticleDOI

A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

TL;DR: In this paper, the authors discuss human emotion perception from a psychological perspective, examine available approaches to solving the problem of machine understanding of human affective behavior, and discuss important issues like the collection and availability of training and test data.
Journal ArticleDOI

Content-based multimedia information retrieval: State of the art and challenges

TL;DR: This survey reviews 100+ recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques.
Journal ArticleDOI

Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications

TL;DR: This survey explicitly explores the multidisciplinary foundation that underlies all AC applications by describing how AC researchers have incorporated psychological theories of emotion and how these theories affect research questions, methods, results, and their interpretations.
Journal ArticleDOI

Multimodal fusion for multimedia analysis: a survey

TL;DR: This survey aims at providing multimedia researchers with a state-of-the-art overview of fusion strategies, which are used for combining multiple modalities in order to accomplish various multimedia analysis tasks.
Proceedings ArticleDOI

User-defined motion gestures for mobile interaction

TL;DR: It is demonstrated that consensus exists among participants on parameters of movement and on mappings of motion gestures onto commands, and this consensus is used to develop a taxonomy for motion gestures and to specify an end-user inspired motion gesture set.
References
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Book

Fundamentals of speech recognition

TL;DR: This book presents a meta-modelling framework for speech recognition that automates the very labor-intensive and therefore time-heavy and therefore expensive and expensive process of manually modeling speech.

Design of Everyday Things

TL;DR: In this article, the authors reveal how smart design is the new competitive frontier, and why some products satisfy customers while others only frustrate them, and how to choose the ones that satisfy customers.
Journal ArticleDOI

Face recognition: A literature survey

TL;DR: In this paper, the authors provide an up-to-date critical survey of still-and video-based face recognition research, and provide some insights into the studies of machine recognition of faces.
Book

The Design of Everyday Things

TL;DR: Revealing how smart design is the new competitive frontier, this innovative book is a powerful primer on how--and why--some products satisfy customers while others only frustrate them.
Book ChapterDOI

A framework for representing knowledge

Marvin Minsky
TL;DR: The enormous problem of the volume of background common sense knowledge required to understand even very simple natural language texts is discussed and it is suggested that networks of frames are a reasonable approach to represent such knowledge.
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