5 research outputs found

    Ubiquitous Technologies for Emotion Recognition

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    Emotions play a very important role in how we think and behave. As such, the emotions we feel every day can compel us to act and influence the decisions and plans we make about our lives. Being able to measure, analyze, and better comprehend how or why our emotions may change is thus of much relevance to understand human behavior and its consequences. Despite the great efforts made in the past in the study of human emotions, it is only now, with the advent of wearable, mobile, and ubiquitous technologies, that we can aim to sense and recognize emotions, continuously and in real time. This book brings together the latest experiences, findings, and developments regarding ubiquitous sensing, modeling, and the recognition of human emotions

    Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

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    This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective

    Infrared thermal imaging in affective neuroscience: insights to the self from the peripheral nervous system.

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    Changes in peripheral physiology lay in the unconscious and occur as a response to external challenges, whether is to fight a virus (e.g. fever) a predator (e.g Fight or Flight) or even to face a social challenge. Autonomic adaptation carries its own physiological print and by harnessing the power given by homeostatic balance, distinctions can be made between arousal and parasympathetic restoration. Conventional physiological methods restrict the way in which experimental designs can be performed. Functional Infrared Thermal Imaging (fITI) provides an alternative for physiological monitoring that enables experimental paradigms that resemble real life situations. With the use of thermal imaging the following studies were set to examine self-conscious emotions in a naturalistic experimental setting while advancing methodologically the technique of fITI. In the following chapters the potentialities and limits of fITI are illustrated (Chapter 2) and three studies are presented where fITI has been applied to investigate the autonomic signature of guilt in children (Chapter 3); the facial imprints of autonomic contagion in mother and child (Chapter 4); the role of social proximity and gaze in modulating facial temperature (Chapter 5). FITI has managed to reliably and systematically collect physiological thermal changes between affective states illustrating a new pathway for contact-free autonomic monitoring in the arena of self-conscious emotions

    Understanding sensory analysis in consumer-driven product development in chocolate confectionary

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    In today’s business, developing new products is a key objective for food companies. Studies on product development state that in the food industry this process needs to be consumer-driven. However, in order for consumer-driven food product development to be successful, one needs to understand the complexity of food perception and food preference by consumers. This doctoral research aims to identify opportunities how sensory analysis can play a part in this innovation process or at least serve as a tool to gather information for improving the features (marketing, product or process) of a product. The overall objective of this research is to investigate key drivers for consumer preference related to chocolate products. Understanding the influencing sensory characteristics, grasping the motives and attitudes towards chocolate consumption and identifying the most important extrinsic and intrinsic attributes which lead to preference are necessities in successful product development. This doctoral research is divided in three major parts. Part I focuses on the sensory evaluation of chocolate products and how this can be interlinked with product characterisation and process parameters. Part II studies emotions and consumer behaviour towards chocolate consumption and Part III incorporates sensory analysis in consumer-driven product development

    Systems&design:beyond processes and thinking

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    El entorno social,el territorio, los productos y las empresas, son ámbitos comunes,en los que se pretende realizar una optimización en la gestión del conocimiento,y desde la que se nos debe permitir observar el mayor número de factores con incidencia en la decisión proyectual necesaria para el diseño de nuevos productos y o servicios.Los retos que plantea la complejidad inherente a estos nuevos tiempos, exige la observación y estudio desde diferentes abordajes e investigaciones, que deberán ser capaces de interpretar las múltiples relaciones complejas, considerando su comportamiento y afectación en el proceso de diseño desde el ámbito complejo de lo multidisciplinar.Hernandis Ortuño, B. (2016). Systems&design:beyond processes and thinking. Editorial Universitat Politècnica de València. http://hdl.handle.net/10251/73710EDITORIA
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