Generally, decisions are based on information. To be useful, information must be reliable. Basically, the concept of a Z-number relates to the issue of reliability of information. A Z-number, Z, has two components, Z=(A,B). The first component, A, is a restriction (constraint) on the values which a real-valued uncertain variable, X, is allowed to take. The second component, B, is a measure of reliability (certainty) of the first component. Typically, A and B are described in a natural language, for example: (about 45 minutes, very sure). Z-number has many applications, especially in the realms of economics, decision analysis, risk assessment, prediction, anticipation, rule-based characterization of imprecise functions and relations, and biomedicine. Different methods, applications, and systems are discussed. Other Fuzzy concepts are also discussed.

Methods and Systems for Applications for Z-numbers

Here, we introduce Z-webs, including Z-factors and Z-nodes, for the understanding of relationships between objects, subjects, abstract ideas, concepts, or the like, including face, car, images, people, emotions, mood, text, natural language, voice, music, video, locations, formulas, facts, historical data, landmarks, personalities, ownership, family, friends, love, happiness, social behavior, voting behavior, and the like, to be used for many applications in our life, including on the search engine, analytics, Big Data processing, natural language processing, economy forecasting, face recognition, dealing with reliability and certainty, medical diagnosis, pattern recognition, object recognition, biometrics, security analysis, risk analysis, fraud detection, satellite image analysis, machine generated data analysis, machine learning, training samples, extracting data or patterns (from the video, images, and the like), editing video or images, and the like. Z-factors include reliability factor, confidence factor, expertise factor, bias factor, and the like, which is associated with each Z-node in the Z-web.

Application of Z-Webs and Z-factors to Analytics, Search Engine, Learning, Recognition, Natural Language, and Other Utilities

There is provided an information processing device including a display section configured to display a first object in a virtual three-dimensional space having a depth direction of a display screen, an operation section configured to acquire an operation for moving the first object in at least the depth direction, and a controller configured to move the first object on the display screen in accordance with the acquired operation, to execute, when a region of the first object overlaps a first overlap determination region, a first process to one or both of the first and second objects, and to execute, when the region of the first object overlaps a second overlap determination region, a second process to one or both of the first and second objects. The first overlap determination region may be a region obtained by extending the second overlap determination region in at least the depth direction.

Information processing device, information processing method, and program

An improved method for detecting truth or deceit (15) comprising providing a video camera (18) adapted to record images of a subject's (16) face, recording images of the subject's face, providing a mathematical model (62) of a face defined by a set of facial feature locations and textures, providing a mathematical model of facial behaviors (78, 82, 98, 104) that correlate to truth or deceit, comparing (64) the facial feature locations to the image (29) to provide a set of matched facial feature locations (70), comparing (77, 90, 94, 100) the mathematical model of facial behaviors to the matched facial feature locations, and providing a deceit indication as a function of the comparison (78, 91, 95, 101 or 23).

System for indicating deceit and verity

Specification covers new algorithms, methods, and systems for artificial intelligence, soft computing, and deep learning/recognition, eg, image recognition (eg, for action, gesture, emotion, expression, biometrics, fingerprint, facial, OCR (text), background, relationship, position, pattern, and object), Big Data analytics, machine learning, training schemes, crowd-sourcing (experts), feature space, clustering, classification, SVM, similarity measures, modified Boltzmann Machines, optimization, search engine, ranking, question-answering system, soft (fuzzy or unsharp) boundaries/impreciseness/ambiguities/fuzziness in language, Natural Language Processing (NLP), Computing-with-Words (CWW), parsing, machine translation, sound and speech recognition, video search and analysis (eg tracking), image annotation, geometrical abstraction, image correction, semantic web, context analysis, data reliability, Z-number, Z-Web, Z-factor, rules engine, control system, autonomous vehicle, self-diagnosis and self-repair robots, system diagnosis, medical diagnosis, biomedicine, data mining, event prediction, financial forecasting, economics, risk assessment, e-mail management, database management, indexing and join operation, memory management, data compression, event-centric social network, Image Ad Network

Method and system for feature detection

Revealed is an intelligent camera security monitoring, fuzzy logic analyses and information reporting system that includes video/audio camera, integrated local controller, interfaced plurality of sensors, and input/output means, that collects and analyses data and information observations from a viewed scene and communicates these to a central controller. The central controller with fuzzy logic processor receives, stores these observations, conducts a plurality of computer analyses techniques and technologies including face, voice, lip reading, emotion, movement, pattern recognition and stress analysis to determine responses and potential threat of/by a person, crowd, animal, action, activity or thing. This invention recognizes possible terrorists, criminals, enraged or dangerous persons and also can identify a person's level of intoxication or impairment by alcohol or drugs via a new “Visual Response Measure”. The invention provides an intelligent tool to assist security systems and personnel, improving capability to record, display and share information and maintain security.

David D. Adair

Papers

Voice, lip-reading, face and emotion stress analysis, fuzzy logic intelligent camera system