Complete a childhood (between 2-9 years of age) observation report in which physical and social behavior is evaluated within the context of developmental norms.
A minimum of three physical behaviors and three social behaviors must be observed and evaluated.
When observing a child, you are required to do so in a public area (playground, mall, library, etc.) and should not draw attention to yourself so the child is aware he or she is being observed. Please get parental permission for our observation. If you need guidance in locating a child to observe, please contact your Instructor immediately.
In addition to the observation, students must evaluate the child’s behavior compared to what is typical of a child of that age. For physical observations, students should evaluate the child according to developmental norms. For cognitive/social behavior, students should evaluate the child using at least two theories discussed in class. These theories can include Piaget’s theory, attachment theory, Erikson’s theory, etc.
The observation report must be typed in 12 point, Times New Roman font, double spaced with one inch margins. The observation report must be a minimum of three pages and grammatically correct.
Examples of physical behavior can include: Approximate height/weight, fine motor skills, gross motor skills, play activities, feeding behavior
Examples of social behavior can include: Expression of emotion, language, relationship with other children, relationship with caregivers
ter on, one of the most known methods will be discussed in a detailed way. The facial recognition methods that can be used, all have a different approach. Some are more frequently used for facial recognition algorithms than others. The use of a method also depends on the needed applications. For instance, surveillance applications may best be served by capturing face images by means of a video camera while image database investigations may require static intensity images taken by a standard camera. Some other applications, such as access to top security domains, may even necessitate the forgoing of the nonintrusive quality of face recognition by requiring the user to stand in front of a 3D scanner or an infrared sensor. Consequently, there can be concluded that there can be made a division of three groups of face recognition techniques, depending on the wanted type of data results, i.e. methods that compare images, methods that look at data from video cameras and methods that deal with other sensory data, like 3D pictures or infrared imagery. All of them can be used in different ways, to prevent crime from happening or recurring. ii. How do these technologies work? As listed above, there exists a long list of methods and algorithms that can be used for facial recognition. Four of them are used frequently and are most known in the literature, i.e. Eigenface Method, Correlation Method, Fisherface Method and the Linear Subspaces Method. But how do these facial recognition work? Because of word limitations, only one of those four facial recognition techniques, i.e The Eigenface Method, will be discussed. Hopefully this will give an general idea of how facial recognition works and can be used. One of the major difficulties of facial recognition, is that you have to cope with the fact that a person’s appearance may change, such that the two images that are being compared differentiate too much from each other. Also environmental changes in pictures, like lightning, have to be taken into account, in order to have successful facial recognition. Thus from a picture of a face, as well as from a live face, some yet more abstract visual representation must be established which can mediate recognition despite the fact that in real life the same face will hardl>GET ANSWER