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- Gesture_recognition abstract "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 the 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.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.Gesture recognition and pen computing: This computing not only going to reduce the hardware impact of the system but also it increases the range of usage of physical world object instead of digital object like keyboards, mouses. Using this we can implement and can create a new thesis of creating of new hardware no requirement of monitors too. This idea may lead us 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. (see Pen computing)".
- Gesture_recognition thumbnail Gesture_Recognition.jpg?width=300.
- Gesture_recognition wikiPageExternalLink kineticspace.colorfulbit.com.
- Gesture_recognition wikiPageExternalLink biblio.html.
- Gesture_recognition wikiPageExternalLink the-future-it-is-all-a-gesture.
- Gesture_recognition wikiPageExternalLink ford-c-max-campaign-ar-gestural-interface.
- Gesture_recognition wikiPageExternalLink pmwiki.php?n=GRT.GestureRecognitionToolkit.
- Gesture_recognition wikiPageExternalLink look-ma-no-trackpad.
- Gesture_recognition wikiPageExternalLink watch?v=4xnqKdWMa_8&feature=youtu.be.
- Gesture_recognition wikiPageID "1400452".
- Gesture_recognition wikiPageRevisionID "599583299".
- Gesture_recognition hasPhotoCollection Gesture_recognition.
- Gesture_recognition subject Category:Applications_of_computer_vision.
- Gesture_recognition subject Category:History_of_human–computer_interaction.
- Gesture_recognition subject Category:Object_recognition_and_categorization.
- Gesture_recognition subject Category:User_interface_techniques.
- Gesture_recognition subject Category:Virtual_reality.
- Gesture_recognition type Ability105616246.
- Gesture_recognition type Abstraction100002137.
- Gesture_recognition type Application106570110.
- Gesture_recognition type ApplicationsOfComputerVision.
- Gesture_recognition type Code106355894.
- Gesture_recognition type CodingSystem106353757.
- Gesture_recognition type Cognition100023271.
- Gesture_recognition type Communication100033020.
- Gesture_recognition type Know-how105616786.
- Gesture_recognition type Method105660268.
- Gesture_recognition type Program106568978.
- Gesture_recognition type PsychologicalFeature100023100.
- Gesture_recognition type Software106566077.
- Gesture_recognition type Technique105665146.
- Gesture_recognition type UserInterfaceTechniques.
- Gesture_recognition type Writing106359877.
- Gesture_recognition type WrittenCommunication106349220.
- Gesture_recognition comment "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 the face and hand gesture recognition. Many approaches have been made using cameras and computer vision algorithms to interpret sign language.".
- Gesture_recognition label "Gestenerkennung".
- Gesture_recognition label "Gesture recognition".
- Gesture_recognition label "Reconhecimento de gestos".
- Gesture_recognition label "Reconocimiento de gestos".
- Gesture_recognition label "Riconoscimento dei gesti".
- Gesture_recognition label "手势识别".
- Gesture_recognition sameAs Gestenerkennung.
- Gesture_recognition sameAs Reconocimiento_de_gestos.
- Gesture_recognition sameAs Riconoscimento_dei_gesti.
- Gesture_recognition sameAs Reconhecimento_de_gestos.
- Gesture_recognition sameAs m.04zldy.
- Gesture_recognition sameAs Q1519524.
- Gesture_recognition sameAs Q1519524.
- Gesture_recognition sameAs Gesture_recognition.
- Gesture_recognition wasDerivedFrom Gesture_recognition?oldid=599583299.
- Gesture_recognition depiction Gesture_Recognition.jpg.
- Gesture_recognition isPrimaryTopicOf Gesture_recognition.