{"id":1565,"date":"2023-12-07T15:19:35","date_gmt":"2023-12-07T14:19:35","guid":{"rendered":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/?p=1565"},"modified":"2025-01-09T11:45:11","modified_gmt":"2025-01-09T10:45:11","slug":"emotion-analysis-101","status":"publish","type":"post","link":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/","title":{"rendered":"It&#8217;s all about Emotion: Emotion Analysis 101"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Affective computing, also known as Emotion AI, is an area of artificial intelligence that focuses on developing systems and technologies capable of recognizing, interpreting, and responding to human emotions (read more in our <a href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/affective-computing-101\/\">Affective Computing 101<\/a>). In this overview article, we take a step back and look at emotions as the field\u2019s core subject: What exactly are emotions, why do we have them, and is it possible to measure them? (Spoiler: Yes, of course it is.)<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Emotion is &#8230;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Do you remember the <em>Love is \u2026<\/em> comic strips? Each strip contains the caption \u201cLove is \u2026\u201d and a thought completing it. Now try doing that with <em>Emotion<\/em>. Depending on whom you ask, you will learn aspects of what emotions are but, as surprising as it sounds, even scientists struggle finding a universal, \u201cone size fits all\u201d definition of emotion.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><strong>Everyone knows what an emotion is, until asked to give a definition. Then, it seems, no one knows.<\/strong><\/p>\n<cite>Fehr, Beverly &amp; Russell, James A. (1984). Concept of emotion viewed from a prototype perspective. <em>Journal of Experimental Psychology: General<\/em>, 113(3), 464\u2013486.<\/cite><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Emotions are a complex phenomenon, involving psychological, physiological, behavioral, cognitive, social, and cultural aspects. That\u2019s why it\u2019s so challenging to find a universal definition for all scientific fields and research interests. We don\u2019t want to take a deep dive into the brain at this point, however, and into the neuroscience of which brain regions are associated with individual emotions. Our main interest is the question of how emotions manifest and how we (humans and machines) register them.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Mixed emotions<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Emotions are, for the most part, tied to specific objects or events and, thus, short-lived. They can be triggered through social interactions, external events and stimuli, personal experiences and memories, or hormonal changes. <strong>Affective states<\/strong>, on the other hand,&nbsp;refer to the broader spectrum of feelings and moods that can be more enduring than specific emotions. Simply put, they are psychosomatic events with communicative, motivational, and cognitive consequences, influencing a person&#8217;s overall emotional landscape.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When we perceive somebody else\u2019s emotions, this happens consciously and unconsciously based on various cues. In general, emotions surface through<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>physiological reactions<\/strong> (e.g., an increase in heart rate, sweating, or blushing and paling due to the dilation or constriction of vessels, respectively)<\/li>\n\n\n\n<li><strong>behavior <\/strong>(changes in facial expressions, gestures, posture, or voice pitch),<\/li>\n\n\n\n<li>and a subjective, more or less conscious component: \u201c<strong>feelings<\/strong>\u201d.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">In scientific settings, &nbsp;we can measure emotions by analyzing cues through multimodal data acquisition and AI-based analysis. This, however, does not mean that a machine can \u201cread\u201d human subjects like some dystopian scenarios might suggest. Instead, emotion analysis is the result of pattern recognition techniques that identify and classify physiological and behavorial changes linked to various emotions, followed by training algorithms on this data. In the next step, these trained algorithms can detect similar patterns in new data.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Despite these advancements, detecting emotions remains challenging and somewhat unreliable, which is why we prioritize the <strong>analysis of affective states<\/strong> (learn on more on <a href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/acquiring-multimodal-data-in-the-emotionai-box\/\">data acquisition modalities<\/a>).\u00a0The detection of affective states is based on said psycho-physiological signals, enabling us to reliably identify stress phases and cognitive overload, for example.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a584a9f671c6&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a584a9f671c6\" class=\"wp-block-image size-full wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"952\" height=\"593\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited.png\" alt=\"Model of multimodal data acquisition for Emotion analysis\" class=\"wp-image-1574\" srcset=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited.png 952w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited-300x187.png 300w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited-768x478.png 768w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited-370x230.png 370w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited-270x168.png 270w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited-570x355.png 570w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/Multimodal_human_sensing_Messung_en-edited-740x461.png 740w\" sizes=\"auto, (max-width: 952px) 100vw, 952px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Multimodal data acquisition (\u00a9 Fraunhofer IIS) <\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Emotion classification<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Experiencing emotions is subjective and deeply personal by nature. So how is it possible to measure the unique feeling and expression of happiness, how do you quantify sadness? When we attempt to detect emotions and affective states, we need to apply an objective classification system, thus reducing the complexity of the phenomenon.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Measure what is measurable and make measurable what is not.<\/p>\n<cite>(<a href=\"https:\/\/link.springer.com\/article\/10.1007\/s00048-009-0335-4\" target=\"_blank\" rel=\"noreferrer noopener\">ascribed to Galileo Galilei<\/a>)<\/cite><\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">A crucial step in making things measurable is to define a methodology of the measuring process: Which aspects can be measured? How do we quantify and qualify them? In case of emotions, this means agreeing on which aspects can be measured (i.e., physical and behavioral reactions) and to define criteria and labels to categorize them.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Boiling down the research discussion quite a bit, we can differentiate two approaches to classify emotions and to describe their structure:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Emotions are discrete categories.<\/li>\n\n\n\n<li>Emotions can be described in terms of dimensional models.<\/li>\n<\/ol>\n\n\n\n<p class=\"wp-block-paragraph\">Discrete emotion theory distinguishes a small number of <strong>basic emotions<\/strong>, for example (and according to American psychologist Paul Ekman\u2019s theory) happy, angry, sad, surprised, frightened, and disgusted. In reality, however, humans use and interpret a lot more than these six basic emotions \u2013 a fact recognized by compound emotion categories. <strong>Compound emotions<\/strong> are formed through combinations of basic emotions, for example when having a happily surprised vs. an angrily surprised look on your face. In this approach, happily surprised vs. angrily surprised constitute two distinct categories (out of <a href=\"https:\/\/www.pnas.org\/doi\/10.1073\/pnas.1322355111\" target=\"_blank\" rel=\"noreferrer noopener\">21 defined compound emotion categories<\/a> all in all).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">When categorizing emotions in terms of a two-dimensional model, we label whether the predominant emotion is more positive or negative (<strong>valence dimension<\/strong>) and the level of <strong>arousal<\/strong> (high vs. low). Both dimensions can be incorporated in a circumplex model of emotion, with valence and arousal as the x and y axes and the emotional states positioned at any level of these two dimensions.<\/p>\n\n\n\n<figure data-wp-context=\"{&quot;imageId&quot;:&quot;6a584a9f67948&quot;}\" data-wp-interactive=\"core\/image\" data-wp-key=\"6a584a9f67948\" class=\"wp-block-image size-large is-resized wp-lightbox-container\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"700\" data-wp-class--hide=\"state.isContentHidden\" data-wp-class--show=\"state.isContentVisible\" data-wp-init=\"callbacks.setButtonStyles\" data-wp-on--click=\"actions.showLightbox\" data-wp-on--load=\"callbacks.setButtonStyles\" data-wp-on--pointerdown=\"actions.preloadImage\" data-wp-on--pointerenter=\"actions.preloadImageWithDelay\" data-wp-on--pointerleave=\"actions.cancelPreload\" data-wp-on-window--resize=\"callbacks.setButtonStyles\" src=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-1024x700.png\" alt=\"Circumplex Model of Emotion for Emotion Analysis\" class=\"wp-image-1535\" style=\"width:650px;height:auto\" srcset=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-1024x700.png 1024w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-300x205.png 300w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-768x525.png 768w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-1536x1050.png 1536w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-370x253.png 370w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-270x185.png 270w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-570x390.png 570w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau-740x506.png 740w, https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/12\/2-dimensionale_Emotionserkennung_en_dklblau.png 2048w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><button\n\t\t\tclass=\"lightbox-trigger\"\n\t\t\ttype=\"button\"\n\t\t\taria-haspopup=\"dialog\"\n\t\t\tdata-wp-bind--aria-label=\"state.thisImage.triggerButtonAriaLabel\"\n\t\t\tdata-wp-init=\"callbacks.initTriggerButton\"\n\t\t\tdata-wp-on--click=\"actions.showLightbox\"\n\t\t\tdata-wp-style--right=\"state.thisImage.buttonRight\"\n\t\t\tdata-wp-style--top=\"state.thisImage.buttonTop\"\n\t\t>\n\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"12\" height=\"12\" fill=\"none\" viewBox=\"0 0 12 12\">\n\t\t\t\t<path fill=\"#fff\" d=\"M2 0a2 2 0 0 0-2 2v2h1.5V2a.5.5 0 0 1 .5-.5h2V0H2Zm2 10.5H2a.5.5 0 0 1-.5-.5V8H0v2a2 2 0 0 0 2 2h2v-1.5ZM8 12v-1.5h2a.5.5 0 0 0 .5-.5V8H12v2a2 2 0 0 1-2 2H8Zm2-12a2 2 0 0 1 2 2v2h-1.5V2a.5.5 0 0 0-.5-.5H8V0h2Z\" \/>\n\t\t\t<\/svg>\n\t\t<\/button><figcaption class=\"wp-element-caption\">Circumplex model of emotion (\u00a9 Fraunhofer IIS \/  Bianca M\u00f6ller)<\/figcaption><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Making emotions measurable<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">As emotions manifest in recognizable and stereotyped behavioral patterns, we have a prerequisite for standardized data acquisition and analysis methods. Because of the complex nature of emotions and affective states, we depend on <a href=\"https:\/\/www.iis.fraunhofer.de\/en\/ff\/sse\/health\/medical-sensors-and-analytics\/analysis-multimodal-data.html\">multimodal data acquisition and measuring tools<\/a> to capture the individual components:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>measuring physiological components through electrical signals (e.g., EEG or ECG), skin temperature, or chemical analysis (of urine, blood, saliva, or odor),<\/li>\n\n\n\n<li>measuring behavioral components through facial analysis, eye tracking, or the analysis of gestures, body posture, and how we sound,<\/li>\n\n\n\n<li>measuring subjective components (\u201cfeelings\u201d) through questionnaires.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Emotion measurement methods are based on the above mentioned categorical or dimensional approach. Complex psycho-physiological affective states, for example, are assessed by classifying <strong>valence<\/strong> and <strong>arousal<\/strong>, i.e., through a dimensional approach. The labelling of discrete emotions, on the other hand, is based on the categorical approach.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">What a feeling: Why we have emotions &#8212; and what they can be good for<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Emotions are not just a vital part of the human experience, they also have important functions: Emotions enhance our attention, they affect our decision-making, they motivate us, and we memorize emotional events and items better than non-emotional ones (ask any mnemonist).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">What is intriguing about emotions is that they are not susceptible to our intentions. We even often mispredict how we would feel (or act) in a hypothetical situation, a phenomenon dubbed \u201c<a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.1168650\" target=\"_blank\" rel=\"noreferrer noopener\">failure of affective forecasting<\/a>\u201d.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">One application area for detecting affective states is<strong> health and well-being<\/strong>. We develop hardware and software for detecting human states that go beyond mere affect, using psycho-physiological signals. This allows us to detect stress phases or cognitive overload, which can support therapeutic interventions. Additionally, these solutions can assess a driver\u2019s well-being and comfort, detecting signs of discomfort, stress, or <a href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/cognitive-load-in-autonomous-driving\/\">cognitive overload<\/a> \u2013 before accidents happen.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In these contexts, affective computing technologies emerge as valuable tools,&nbsp;providing insightful data that enhances applications where affective states play a crucial role.&nbsp;In addition, they can even <a href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/how-affective-computing-can-help-build-trust-into-technology\/\">help build trust into technology<\/a>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<p class=\"wp-block-paragraph\">Copyright: Adobe Stock \/ Viktoriia M. \u2013 stock.adobe.com<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Affective computing, also known as Emotion AI, is an area of artificial intelligence that focuses on developing systems and technologies capable of recognizing, interpreting, and responding to human emotions (read more in our Affective Computing 101). In this overview article, we take a step back and look at emotions as the field\u2019s core subject: What [&hellip;]<\/p>\n","protected":false},"author":9,"featured_media":2612,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41],"tags":[37,66,62],"coauthors":[51],"class_list":["post-1565","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-affective-computing","tag-ai","tag-multimodal-data","tag-science-101"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>It&#039;s all about Emotion: Emotion Analysis 101 - SMART SENSING insights<\/title>\n<meta name=\"description\" content=\"Emotion analysis is a key technology in affective computing. Read our 101 on what emotions are, how we measure them, and potential use cases.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"It&#039;s all about Emotion: Emotion Analysis 101 - SMART SENSING insights\" \/>\n<meta property=\"og:description\" content=\"Emotion analysis is a key technology in affective computing. Read our 101 on what emotions are, how we measure them, and potential use cases.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/\" \/>\n<meta property=\"og:site_name\" content=\"SMART SENSING insights\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/FraunhoferIIS\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-07T14:19:35+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-01-09T10:45:11+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2024\/10\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1714\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Grit Nickel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Grit Nickel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/\"},\"author\":{\"name\":\"Grit Nickel\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/person\\\/fc55925f8da111629c277bcedf848c5e\"},\"headline\":\"It&#8217;s all about Emotion: Emotion Analysis 101\",\"datePublished\":\"2023-12-07T14:19:35+00:00\",\"dateModified\":\"2025-01-09T10:45:11+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/\"},\"wordCount\":1200,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2024\\\/10\\\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg\",\"keywords\":[\"AI\",\"Multimodal Data\",\"Science 101\"],\"articleSection\":[\"Affective Computing\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/\",\"name\":\"It's all about Emotion: Emotion Analysis 101 - SMART SENSING insights\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2024\\\/10\\\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg\",\"datePublished\":\"2023-12-07T14:19:35+00:00\",\"dateModified\":\"2025-01-09T10:45:11+00:00\",\"description\":\"Emotion analysis is a key technology in affective computing. Read our 101 on what emotions are, how we measure them, and potential use cases.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#primaryimage\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2024\\\/10\\\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg\",\"contentUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2024\\\/10\\\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg\",\"width\":2560,\"height\":1714,\"caption\":\"Emotion Analysis comes in handy: Hand with different emotions painted on fingers\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/emotion-analysis-101\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"It&#8217;s all about Emotion: Emotion Analysis 101\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#website\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/\",\"name\":\"SMART SENSING insights\",\"description\":\"learn more about our focus research areas sensor technology, electronics, and artificial intelligence\",\"publisher\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#organization\",\"name\":\"Fraunhofer IIS\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Fraunhofer-IIS-1.png\",\"contentUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Fraunhofer-IIS-1.png\",\"width\":826,\"height\":299,\"caption\":\"Fraunhofer IIS\"},\"image\":{\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/FraunhoferIIS\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/fraunhofer-iis\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/#\\\/schema\\\/person\\\/fc55925f8da111629c277bcedf848c5e\",\"name\":\"Grit Nickel\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/cropped-Grit_Nickel-glasowfotografie_1zu1-96x96.jpgb9e2641f671ece8d5eef3a78bdbb8b8e\",\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/cropped-Grit_Nickel-glasowfotografie_1zu1-96x96.jpg\",\"contentUrl\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/cropped-Grit_Nickel-glasowfotografie_1zu1-96x96.jpg\",\"caption\":\"Grit Nickel\"},\"description\":\"Grit is a content writer at Fraunhofer IIS and a science communication specialist. She has 6+ years of experience in research and holds a PhD in German linguistics.\",\"sameAs\":[\"https:\\\/\\\/www.linkedin.com\\\/in\\\/grit-nickel\\\/\"],\"url\":\"https:\\\/\\\/websites.fraunhofer.de\\\/smart-sensing-insights\\\/author\\\/grit-nickeliis-fraunhofer-de\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"It's all about Emotion: Emotion Analysis 101 - SMART SENSING insights","description":"Emotion analysis is a key technology in affective computing. Read our 101 on what emotions are, how we measure them, and potential use cases.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/","og_locale":"en_US","og_type":"article","og_title":"It's all about Emotion: Emotion Analysis 101 - SMART SENSING insights","og_description":"Emotion analysis is a key technology in affective computing. Read our 101 on what emotions are, how we measure them, and potential use cases.","og_url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/","og_site_name":"SMART SENSING insights","article_publisher":"https:\/\/www.facebook.com\/FraunhoferIIS","article_published_time":"2023-12-07T14:19:35+00:00","article_modified_time":"2025-01-09T10:45:11+00:00","og_image":[{"width":2560,"height":1714,"url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2024\/10\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg","type":"image\/jpeg"}],"author":"Grit Nickel","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Grit Nickel","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#article","isPartOf":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/"},"author":{"name":"Grit Nickel","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/person\/fc55925f8da111629c277bcedf848c5e"},"headline":"It&#8217;s all about Emotion: Emotion Analysis 101","datePublished":"2023-12-07T14:19:35+00:00","dateModified":"2025-01-09T10:45:11+00:00","mainEntityOfPage":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/"},"wordCount":1200,"commentCount":0,"publisher":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#organization"},"image":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#primaryimage"},"thumbnailUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2024\/10\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg","keywords":["AI","Multimodal Data","Science 101"],"articleSection":["Affective Computing"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/","name":"It's all about Emotion: Emotion Analysis 101 - SMART SENSING insights","isPartOf":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#website"},"primaryImageOfPage":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#primaryimage"},"image":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#primaryimage"},"thumbnailUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2024\/10\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg","datePublished":"2023-12-07T14:19:35+00:00","dateModified":"2025-01-09T10:45:11+00:00","description":"Emotion analysis is a key technology in affective computing. Read our 101 on what emotions are, how we measure them, and potential use cases.","breadcrumb":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#primaryimage","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2024\/10\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg","contentUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2024\/10\/AdobeStock_93968452_Copyright_Viktoriia_M-scaled.jpeg","width":2560,"height":1714,"caption":"Emotion Analysis comes in handy: Hand with different emotions painted on fingers"},{"@type":"BreadcrumbList","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/emotion-analysis-101\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/"},{"@type":"ListItem","position":2,"name":"It&#8217;s all about Emotion: Emotion Analysis 101"}]},{"@type":"WebSite","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#website","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/","name":"SMART SENSING insights","description":"learn more about our focus research areas sensor technology, electronics, and artificial intelligence","publisher":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#organization","name":"Fraunhofer IIS","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/logo\/image\/","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/06\/Fraunhofer-IIS-1.png","contentUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/06\/Fraunhofer-IIS-1.png","width":826,"height":299,"caption":"Fraunhofer IIS"},"image":{"@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/FraunhoferIIS","https:\/\/www.linkedin.com\/company\/fraunhofer-iis"]},{"@type":"Person","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/#\/schema\/person\/fc55925f8da111629c277bcedf848c5e","name":"Grit Nickel","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/08\/cropped-Grit_Nickel-glasowfotografie_1zu1-96x96.jpgb9e2641f671ece8d5eef3a78bdbb8b8e","url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/08\/cropped-Grit_Nickel-glasowfotografie_1zu1-96x96.jpg","contentUrl":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-content\/uploads\/2023\/08\/cropped-Grit_Nickel-glasowfotografie_1zu1-96x96.jpg","caption":"Grit Nickel"},"description":"Grit is a content writer at Fraunhofer IIS and a science communication specialist. She has 6+ years of experience in research and holds a PhD in German linguistics.","sameAs":["https:\/\/www.linkedin.com\/in\/grit-nickel\/"],"url":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/author\/grit-nickeliis-fraunhofer-de\/"}]}},"_links":{"self":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts\/1565","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/comments?post=1565"}],"version-history":[{"count":33,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts\/1565\/revisions"}],"predecessor-version":[{"id":3035,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/posts\/1565\/revisions\/3035"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/media\/2612"}],"wp:attachment":[{"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/media?parent=1565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/categories?post=1565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/tags?post=1565"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/websites.fraunhofer.de\/smart-sensing-insights\/wp-json\/wp\/v2\/coauthors?post=1565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}