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Gesture recognition is an area of research and development in computer science and language technology concerned with the recognition and interpretation of human gestures. A subdiscipline of computer vision , [ citation needed ] it employs mathematical algorithms to interpret gestures.
Finger tracking of two pianists' fingers playing the same piece (slow motion, no sound) [1]. In the field of gesture recognition and image processing, finger tracking is a high-resolution technique developed in 1969 that is employed to know the consecutive position of the fingers of the user and hence represent objects in 3D.
Optical Recognition of Handwritten Digits Dataset Normalized bitmaps of handwritten data. Size normalized and mapped to bitmaps. 5620 Images, text Handwriting recognition, classification 1998 [140] E. Alpaydin et al. Pen-Based Recognition of Handwritten Digits Dataset Handwritten digits on electronic pen-tablet.
sEMG for Basic Hand movements Dataset Two databases of surface electromyographic signals of 6 hand movements. None. 3000 Text Classification 2014 [180] [181] C. Sapsanis et al. REALDISP Activity Recognition Dataset Evaluate techniques dealing with the effects of sensor displacement in wearable activity recognition. None. 1419 Text ...
The foremost method makes use of 3D information of key elements of the body parts in order to obtain several important parameters, like palm position or joint angles. On the other hand, appearance-based systems use images or videos to for direct interpretation. Hand gestures have been a common focus of body gesture detection methods. [39]
Objects detected with OpenCV's Deep Neural Network module (dnn) by using a YOLOv3 model trained on COCO dataset capable to detect objects of 80 common classes. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. [1]
Sketch recognition describes the process by which a computer, or artificial intelligence can interpret hand-drawn sketches created by a human being, or other machine. [1] Sketch recognition is a key frontier in the field of artificial intelligence and human-computer interaction , similar to natural language processing or conversational ...
The technique used in creating eigenfaces and using them for recognition is also used outside of face recognition: handwriting recognition, lip reading, voice recognition, sign language/hand gestures interpretation and medical imaging analysis. Therefore, some do not use the term eigenface, but prefer to use 'eigenimage'.