Are you playing with me? - Towards Vois
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This document describes a proposed e-learning system called Vois that would provide socially contextualized information to help people with emotion recognition difficulties. Vois uses algorithms like SAR, FAR, and DAR to recognize emotion in speech, facial expressions, and dialogue. It then recommends appropriate responses in natural language. The document outlines the developer's methodology, which includes user experience analysis, technical development, prototyping and clinical testing. It concludes that people with emotion recognition difficulties should not be forced to overcome their disability, and that technology like Vois could help process stimuli instead of overburdening the individual.
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Volume URL: https://airccse.org/journal/mlaij/vol11.html
Abstract URL:https://aircconline.com/abstract/mlaij/11124mlaij01.html
Youtube URL: https://youtu.be/ktChXQX3cQ0
Pdf URL: https://aircconline.com/mlaij/V11N1/11124mlaij01.pdf
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Volume URL: https://airccse.org/journal/mlaij/vol11.html
Abstract URL:https://aircconline.com/abstract/mlaij/11124mlaij01.html
Youtube URL: https://youtu.be/ktChXQX3cQ0
Pdf URL: https://aircconline.com/mlaij/V11N1/11124mlaij01.pdf
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#computerscience #bigdata #datascience #iot #software #ml #blockchain #iot #internetofthings
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From Our Title List the Cost will be,
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Website: : https://www.okokprojects.com
: http://www.ieeeproject.net
Support Including Packages
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* Complete Documentation
* Complete Presentation 際際滷s
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Video Tutorials
* Supporting Softwares
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* Ticketing System
* Voice Conference
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* Remote Connectivity
* Document Customization
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The document discusses emotional intelligence, defining it as the ability to recognize and manage one's own emotions and the emotions of others. It outlines several models of emotional intelligence, including ability models that see it as a type of intelligence involving perceiving, using, understanding and managing emotions. Mixed models combine mental ability with personality traits like optimism. The document also discusses trait models that view emotional intelligence as self-perceptions of emotional abilities. Finally, it summarizes Daniel Goleman's model of emotional intelligence as including self-awareness, self-management, social awareness and relationship management.Sri-Pratap-College-Department-of-Information-Technology Presentation.pptx
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Facial expression recognition using cnnBasic Question Evaluation
Basic Question EvaluationJessica Speer
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Kirsten Miller gave a presentation about survey question design based on her work at the Question Design Research Lab at the National Center for Health Statistics. Her talk was given at DePaul University in Chicago, Illinois on February 13, 2012. This event was sponsored by the DePaul College of Liberal Arts and Social Sciences, the Social Science Research Center, and the Department of Sociology. Audio from the presentation can be heard here: http://is.gd/ssrc_kmillerPersonality, Leadership, and Emotional Intelligence: Strategies and Assessments
Personality, Leadership, and Emotional Intelligence: Strategies and AssessmentsCareer Communications Group
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Personality, Leadership, and Emotional Intelligence: Strategies and Assessments
Learning objective: Explore the benefits of emotional intelligence
Is your personality and leadership style helping or hurting you? Some studies have shown that emotional intelligence is a better predictor of success than technical or intellectual capacity. Effective leaders invest in a lifelong journey of self- assessment and learning. Not only must they understand the business environment, challenges, and opportunities associated with growth, they also need understanding of how his/her personality, skills, experiences impact people and contribute to goal attainment. Leaders must work on capacity to manage self, have a positive
outlook, and effectively recognize the needs of others. As the complexity of interactions
change, more leaders are forced to use emotional intelligence to cultivate viable relationships with customers and employees. Join us as we assess varying levels of emotional intelligence and explore unique personal skills that will help you continue to develop as a leader.
At the end of this seminar, participants will be able to:
a. Assess current level of emotional intelligence
b. Explore concepts of personality and habits
c. View scenarios and case studies to identify emotionally intelligent strategies
d. Examine the levels of emotional intelligent leadershipLiterature Review On: Speech Emotion Recognition Using Deep Neural Network
Literature Review On: Speech Emotion Recognition Using Deep Neural NetworkIRJET Journal
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The document discusses speech emotion recognition using deep neural networks. It first provides an overview of SER and the challenges in the field. It then reviews 20 research papers on the topic, finding that most use deep neural network techniques like CNNs and DNNs for model building. The papers evaluated various datasets and algorithms, with accuracy ranging from 84% to 90%. Overall limitations identified included the need for more data, handling of multiple simultaneous emotions, and improving cross-corpus performance. The literature review contributes to knowledge in using machine learning for SER.iMotions White Paper: Validation of Emotion Evaluation System embedded in Att...
iMotions White Paper: Validation of Emotion Evaluation System embedded in Att...iMotionsEyeTracking
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Personality, Leadership, and Emotional Intelligence: Strategies and Assessments
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Microelectromechanical Systems (MEMS) technology has revolutionized various industries, including automotive, healthcare, aerospace, and consumer electronics. MEMS devices integrate mechanical and electrical components at the microscale, enabling precise sensing, actuation, and control. The evolution of MEMS has been significantly influenced by advancements in materials, sensors, and actuators. This document provides a comprehensive analysis of the role of materials, sensors, and actuators in the development of MEMS technology.
1. Introduction to MEMS Technology
MEMS technology refers to miniaturized mechanical and electro-mechanical devices fabricated using microfabrication techniques. These systems typically include sensors, actuators, and electronic components integrated onto a single chip. The advancements in MEMS technology have been driven by the development of novel materials, improved fabrication techniques, and enhanced sensor-actuator performance.
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Single-Crystal Silicon (Si): The most widely used material in MEMS due to its excellent mechanical properties, low cost, and compatibility with semiconductor fabrication.
Polycrystalline Silicon (Poly-Si): Commonly used for microstructures such as beams, membranes, and cantilevers.
Silicon Carbide (SiC): Offers high-temperature stability and chemical resistance, making it suitable for harsh environments.
(b) Metal-Based Materials
Aluminum (Al): Used for interconnects and microstructures due to its good electrical conductivity and ease of deposition.
Gold (Au) and Platinum (Pt): Preferred for biomedical applications due to their biocompatibility.
Titanium (Ti): Provides high strength and corrosion resistance for specialized MEMS applications.
(c) Polymer-Based Materials
Polydimethylsiloxane (PDMS): Widely used in biomedical MEMS due to its flexibility and biocompatibility.
SU-8: A high-aspect-ratio photoresist polymer used in microfluidics and lab-on-a-chip applications.
Polyimide: Provides good mechanical and thermal properties for flexible MEMS applications.
2.2 Functional Materials
Functional materials exhibit specific electrical, magnetic, thermal, or optical properties that enhance MEMS device performance.
(a) Piezoelectric Materials
Lead Zirconate Titanate (PZT): Common
Are you playing with me? - Towards Vois
- 1. 1 Are you playing with me?Are you playing with me? Towards Vois: A persuasive e-learning system that provides socially contextualised information as an aide and reference for people with emotion recognition difficulties Councillor Jonathan Bishop BSc(Hons), MSc, LLM, MIEEE, MBCS, CITP Emotion and Emotion Recognition DifficultyEmotion and Emotion Recognition Difficulty Emotion an油expression油of油a油feeling油through油either油internally油 or油externally油orientated油bodily油means油that油 motivates油a油further油response油from油oneself油or油 others Emotion Recognition Difficulty an油impairment油in油ones油ability油to油recognise油and油 respond油to油the油emotions油of油others
- 2. 2 The Solution: The Versatile Ontological Imitation System (Vois) The Solution: The Versatile Ontological Imitation System (Vois) Recognises emotion in speech, facial expression and dialogue Existing algorithms: SAR, FAR New algorithm: Dialogue affect recognition (DAR) Recommends appropriate responses Natural language (inc. AIML, PAIGE) The MethodologyThe Methodology Follows my adapted 2005/7 development model User Experience Analysis Questionnaires and Regression Analysis Technical Development Q-sort and Q-method factor analysis Prototyping and Clinical testing Logging actual use and ANOVA Market and Competition Analyses Earlier Questionnaire and cluster analysis SWOT Analysis
- 3. 3 Data Flow of StudiesData Flow of Studies ConclusionsConclusions People with ERDs shouldnt be forced to overcome their disability Technology should take the strain of stimuli processing and not the person with an ERD Even with aides such as Vois, others should think about how they express themselves to people with ERDs
- 4. 4 Any Questions?Any Questions? Emotion Recognition Difficulties Vois Doctoral Research Methodology Other