2a. The computing innovation that is represented by my computational artifact is that of voice recognition. Voice recognition is commonly used to operate a device‚ perform commands‚ or write without having to use a keyboard‚ mouse or press any buttons. The user is able to talk to a computer with automatic speech recognition (ASR) programs and tell it what to do.(5) The computing innovation was created with the intention of being user-friendly and helping people with a variety of disabilities. My
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Introduction Consumer behaviour is defined as the behaviour that consumers display in seeking‚ purchasing‚ using‚ evaluating and disposing of products and services that they expect will satisfy their personal needs. Consumer behaviour includes how consumers think (their mental decisions) and feel‚ and the physical actions that result from these decisions (the purchase). [7] Abraham Maslow’s "hierarchy of needs" theory identifies the higher-order needs (ego needs and self-actualisation) and lower-order
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FINGERPRINT RECOGNITION Contents • Fingerprint • Fingerprint Recognition • Applications • Advantages • Disadvantages • Fingerprint patterns and features • Techniques used for fingerprint recognition Hybrid matching technique Minutiae score matching technique Fingerprint • Fingerprints are graphical flow-like ridges present on human fingers. • It is made of a series of ridges and valleys on the surface of the finger. • Patterns that arise in ridges are known as Minutiae. FINGERPRINT
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(1) summarizes the factual situation The company was started off by Amelia. The company is a family software company that Aunt Amelia started. She started working in a spare room in her house and was able to bring other relatives together to invest together and form a company. The company was a success that is became part of Wall Street just three years ago. The company has being profitable and there haven’t being any issues associated with the accounting records or any financial data associated
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Novel features for silhouette based gait recognition systems |Arhiant Kochhar |Divyesh Gupta |M. Hanmandlu |Shantaram Vasikarla | |N. S. Institute of Technology New Delhi‚|N. S. Institute of Technology |Dept. of Electrical Engineering |Dept. of Computer Science | |India |New Delhi‚ India |Indian Institute of
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Facial memory and recognition are common daily activities and important forensic evidence in a trial or an investigation. Some people have difficulty in social interaction because of having face blindness and sometimes a suspect can be determined by the witness’ facial recognition. However‚ the reliability of facial recognition is being questioned for years because memory is a recreation of given information. It raises an interesting question to ask what factors improve or affect the accuracy of
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Fingerprint Recognition By ANJALI VATS A thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Technology (ECE) HMRITM Guru Gobind Singh Indraprastha University Date: 25 JUNE 2014 Declaration I Hereby declare that all the design and implementation of the Project is my independent effort except otherwise specified. I also certify that this project have never been submitted for academic
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Cognitive processes involved with face recognition To human beings‚ facial recognition is not only essential for identification of persons in the social context‚ but also a vital social tool. There are various reasons why facial recognition process is a vital to human beings. Facial recognition serves an essential purpose of identifying members within our society; as a result‚ we are able to select those that we can socialize with that aid our survival in society. For instance‚ the males are
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Speech Recognition Technologies Abstract While commercial solutions for precise indoor positioning exist‚ they are costly and require installation of additional infrastructure‚ which limits opportunities for widespread adoption. Inspired by robotics techniques of Simultaneous Localization and Mapping (SLAM) and computer vision approaches using structured light patterns‚ we propose a self-contained solution to precise indoor positioning that requires no additional environmental infrastructure
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pattern recognition In machine learning‚ pattern recognition is the assignment of a label to a given input value. An example of pattern recognition is classification‚ which attempts to assign each input value to one of a given set of classes (for example‚ determine whether a given email is "spam" or "non-spam"). However‚ pattern recognition is a more general problem that encompasses other types of output as well. Other examples are regression‚ which assigns a real-valued output to each input; sequence
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