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Gesture recognition is a topic in computer science and language technology with the goal of interpreting human gestures via mathematical algorithms. Gestures can originate from any bodily motion or state but commonly originate from the face or hand. Current focuses in the field include emotion recognition from face and hand gesture recognition. Many approaches have been made using cameras and computer vision algorithms to interpret sign language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition techniques.〔Matthias Rehm, Nikolaus Bee, Elisabeth André, (Wave Like an Egyptian - Accelerometer Based Gesture Recognition for Culture Specific Interactions ), British Computer Society, 2007〕 Gesture recognition can be seen as a way for computers to begin to understand human body language, thus building a richer bridge between machines and humans than primitive text user interfaces or even GUIs (graphical user interfaces), which still limit the majority of input to keyboard and mouse. Gesture recognition enables humans to communicate with the machine (HMI) and interact naturally without any mechanical devices. Using the concept of gesture recognition, it is possible to point a finger at the computer screen so that the cursor will move accordingly. This could potentially make conventional input devices such as mouse, keyboards and even touch-screens redundant. Gesture recognition can be conducted with techniques from computer vision and image processing. The literature includes ongoing work in the computer vision field on capturing gestures or more general human pose and movements by cameras connected to a computer.〔Pavlovic, V., Sharma, R. & Huang, T. (1997), ("Visual interpretation of hand gestures for human-computer interaction: A review" ), IEEE Trans. Pattern Analysis and Machine Intelligence., July, 1997. Vol. 19(7), pp. 677 -695.〕〔R. Cipolla and A. Pentland, (Computer Vision for Human-Machine Interaction ), Cambridge University Press, 1998, ISBN 978-0-521-62253-0〕〔Ying Wu and Thomas S. Huang, ("Vision-Based Gesture Recognition: A Review" ), In: Gesture-Based Communication in Human-Computer Interaction, Volume 1739 of Springer Lecture Notes in Computer Science, pages 103-115, 1999, ISBN 978-3-540-66935-7, 〕〔Alejandro Jaimes and Nicu Sebe, (Multimodal human–computer interaction: A survey ), Computer Vision and Image Understanding Volume 108, Issues 1-2, October–November 2007, Pages 116-134 Special Issue on Vision for Human-Computer Interaction, 〕 ''Gesture recognition and pen computing:'' Pen computing reduces the hardware impact of a system and also increases the range of physical world objects usable for control beyond traditional digital objects like keyboards and mice. Such implements can enable a new range of hardware not requiring monitors. This idea may lead to the creation of holographic display. The term gesture recognition has been used to refer more narrowly to non-text-input handwriting symbols, such as inking on a graphics tablet, multi-touch gestures, and mouse gesture recognition. This is computer interaction through the drawing of symbols with a pointing device cursor.〔Dopertchouk, Oleg; ("Recognition of Handwriting Gestures" ), ''gamedev.net'', January 9, 2004〕〔Chen, Shijie; ("Gesture Recognition Techniques in Handwriting Recognition Application" ), ''Frontiers in Handwriting Recognition'' p 142-147 November 2010〕〔Balaji, R; Deepu, V; Madhvanath, Sriganesh; Prabhakaran, Jayasree ("Handwritten Gesture Recognition for Gesture Keyboard" ), ''Hewlett-Packard Laboratories''〕 (see Pen computing) ==Gesture types== In computer interfaces, two types of gestures are distinguished:〔Dietrich Kammer, Mandy Keck, Georg Freitag, Markus Wacker, (Taxonomy and Overview of Multi-touch Frameworks: Architecture, Scope and Features )〕 We consider online gestures, which can also be regarded as direct manipulations like scaling and rotating. In contrast, offline gestures are usually processed after the interaction is finished; e. g. a circle is drawn to activate a context menu. * Offline gestures: Those gestures that are processed after the user interaction with the object. An example is the gesture to activate a menu. * Online gestures: Direct manipulation gestures. They are used to scale or rotate a tangible object. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Gesture recognition」の詳細全文を読む スポンサード リンク
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