Comparing The Four Basics Of Gestures

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.4 Basics of Gestures
Gesture is the use of nonverbal communication in between the humans or to any other creatures. This kind of communication uses different part of the body such as hand, head, the lips and etc. Those body parts are used to convey messages nonverbally. Basically, for gesture recognitions that are used in the digital world, it can be categorized into three different areas which are voice gesture recognition, facial gesture recognition and hand gesture recognition.
2.4.1 Voice gesture recognition
Gestures can be recognized in different ways, voice or speech gestures if those ways. Speech and gesture recognition systems are multimodal parsing systems that allow input and/or output to be conveyed over multiple different channels.
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have speech or voice recognition feature called “Siri” on its product, the application uses natural language user interface to perform action, make a recommendations, and answer questions by interpreting the commands into a set of Web services, it was firstly introduced as hands free navigator for cars like Ford and Honda, it was intended to make hands free and Eyes free operations for automobile manufacturers, but because of inflation and drop of stock exchange among the companies led the withdrawal of the plans. Likewise Android operating systems have the alternative feature of Siri which is called Skyvi the applications are both free on their operating system and are therefore accessed using voice commands. LG and Samsung have recently released SmartTV, which recognizes face of the user and listen to the user’s oral commands, this will lead the change of feature of the TV channel like swiping aside and incrementing or decreasing …show more content…
Each of the finite state is characterized by sets of two probabilities: probability transition and either continues or discrete output probability distribution density function, which defines the probability condition of emitting symbols of output from a continuous random vector of a finite alphabet[36]. The HMM have wide range of application which includes the use of gesture representation. Nhan Nguyen, Sungyoung and Donghan[37] developed a system in which humans interact with the robots in which the robots understands the gesture and the actions it takes via the control of human hand gesture, they used two stages of HMM, firstly the HMM is used to recognize the prime command like gesture, and secondly the HMM recognizes and executes the gesture, they have included Mixed Gaussian distribution as mean of increasing the recognition rate in HMM. Another method of implementing hand gesture detection and recognition is developed by Nianjun Liu and Brain C. Lovell [38], who used sequence observation to characterize HMM states which are obtained from HMM based framework for detection and recognition of hand gesture and extraction of segmented hand image by Vector quantization and in the process of recognition system they have tried several training algorithm method for higher recognition

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