Motion

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Motion

1.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 interpretsign language. However, the identification and recognition of posture, gait, proxemics, and human behaviors is also the subject of gesture recognition [1] techniques.

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.

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the interfacing of various control components must provide a means to coordinate the signals and commands sent between control modules. While tight coordination is desirable for discrete inputs and outputs, it is especially important in motion controls, where directing the movement of individual axis of motion must be precisely coordinated so that the motion of the entire system follows a desired path.

Signals in nature can be converted to electronic signals by various sensors. Some examples are:
 Motion. The motion of an object can be considered to be a signal, and can be monitored by [5] various sensors to provide electrical signals. For example, radar can provide an electromagnetic signal for following aircraft motion. A motion signal is one-dimensional (time), and the range is generally three-dimensional. Position is thus a 3-vector signal; position and orientation of a rigid body [6] is a 6-vector signal. Orientation signals can be generated using a gyroscope.  Sound. Since a sound is a vibration of a medium (such as air), a sound signal associates a pressure value to every value of time and three space coordinates. A sound signal is converted to an electrical signal by a microphone, generating a voltage signal as an analog of the sound signal, making the sound signal available for further signal processing. Sound signals can besampled at a discrete set of time points; for example, compact discs (CDs) contain discrete signals representing sound, recorded at 44,100 samples per second; each sample contains data for a left and right channel, which may be considered to be a 2-vector signal (since CDs are recorded in stereo). The CD encoding is converted to an electrical signal by reading the information with a laser, converting [7] the sound signal to an optical signal.

 Images. A picture or image consists of a brightness or color signal, a function of a twodimensional location. The object's appearance is presented as an emitted or reflected electromagnetic wave, one form of electronic signal. It can be converted to voltage or current waveforms using devices such as the charge-coupled device. A 2D image can have a continuous spatial domain, as in a traditional photograph or painting; or the image can be discretized in space, as in a raster scanned digital image. Color images are typically represented as a combination of images in three primary colors, so that the signal is vector-valued with dimension three.  Videos. A video signal is a sequence of images. A point in a video is identified by its twodimensional position and by the time at which it occurs, so a video signal has a three-dimensional domain. Analog video has one continuous domain dimension (across a scan line) and two discrete dimensions (frame and line).

I am very sorry for not attending the seminar last Friday. My mother took me to the eye clinic to consult a doctor because of my blurry vision in the past few weeks. I never mean to disobey you and I am willing to accept the consequences of my action. I am really sorry Ma’am.

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