[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-123734-en":3,"doc-seo-123734-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},123734,16904993612988,"Olivia Brown","https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd",8,"Research & Report","Deception/Truthful Prediction Based on Facial Feature and Machine Learning Analysis - Conference paper","Automatic deception detection provides investigative support to determine whether a person is telling the truth or a lie. It has been studied for real-world use across health, justice, and security systems. Traditional polygraph methods require training and human involvement, motivating machine-learning alternatives. This work focuses on facial micro-expression processing and facial feature analysis, using modalities such as facial emotion, blink rate, pupil size, and facial action units to improve accuracy.","Deception/Truthful Prediction Based on Facial Feature and Machine Learning Analysis  \nTwisha Patel1, Dr. Daxa Vekariya2  \n1Research Scholor  \nEngineering and Technology,  \nParul University, Vadodara,  \nGujarat, India  \n[twisapatel@gmail.com](twisapatel@gmail.com)  \n2Faculty  \nEngineering and Technology,  \nParul University, Vadodara,  \nGujarat, India  \n[daxa.vekariya18436@paruluniversity.ac.in](daxa.vekariya18436@paruluniversity.ac.in)  \nAbstract—The Automatic Deception detection refers to the investigative practices used to determine whether person is telling you Truth or lie. Automatic deception detection has been studied extensively as it can be useful in many real-life scenarios in health, justice, and security systems. Many psychological studies have been reported for deception detection. Polygraph testing is a current trending technique to detect deception, but it requires human intervention and training. In recent times, many machine learning based approaches have been applied to detect deceptions. Various modalities like Thermal Imaging, Brain Activity Mapping, Acoustic analysis, eye tracking. Facial Micro expression processing and linguistic analyses are used to detect deception. Machine learning techniques based on facial feature analysis look like a promising path for automatic deception detection. It also works without human intervention. So, it may give better results because it does not affect race or ethnicity. Moreover, one can do covert operation to find deceit using facial video recording. Covert Operation may capture the real personality of deceptive persons. By making combination of various facial features like Facial Emotion, Facial Micro Expressions and Eye blink rate, pupil size, Facial Action Units we can get better accuracy in Deception Detection.  \nKeywords-Facial Feature; Dlib; Support vector machine (SVM); K-nearest Neighbours; Random Forest; Decision Tree; Extra Tree; and Naive Baye.  \nI. INTRODUCTION  \nDeception is the action of deceiving someone or hiding something. Now a day’s deception is widespread in mankind. It has many from but is mainly seen as high-stake environmentsand low stake deception. Developing a method which can detect deception behavior has become important. As detecting deception has become more challenging [1] . When a speaker makes a remark and the imposter interprets that speech as a major conclusion, high stack deception occurs. For example, in judicial cases, a false declaration might result in a guilty person being released without charges. Low stake deception has no or minimal significance for the impostor. e.g., social media posted, online reviews [2] .  \nDeception detection is used in many areas in real life such as health, justice, and security systems. But as now a day’s deception detection is mainly used in criminal investigations, where criminal will try to make a false statement as he/she do not want to face the punishment. The ability of detecting deception by humans is 54% without using any specialized machine [1] . Therefore, building a system which as deception detection has become important. There are many psychological  \ntechniques which detected the deception which are Polygraph testing, Questioning, and testing techniques, Voice stress, Brainscan etc. [2] . Polygraph testing is more popular for detecting deception [2] . But this all-psychological technique required specialized machines and required human expertise to detect deception. Therefore, use of it in the real world is less. Researchers have proposed many machines learning for detecting deception such Thermal Imaging, Brain Activity Mapping, Acoustic analysis, eye tracking. They also develop many methods to use facial expressions. Facial micro expression is used in detecting deception, but it is difficult to detect as it stays for short duration, which is 500ms, other has given as 250ms, 330ms and 200ms [3] and it is hard to detect by naked eyes. However, facial features play an important for detectin","cbCaif1MAyqPZLC8","https://ap.wps.com/l/cbCaif1MAyqPZLC8","pdf",439733,1,7,"English","en",105,"# Introduction\n# Related Works","[{\"question\":\"What is the goal of automatic deception detection in this paper?\",\"answer\":\"To predict whether a person is truthful or deceptive by analyzing behavioral signals, especially facial features, using machine learning approaches.\"},{\"question\":\"Why are machine-learning methods used instead of polygraph testing?\",\"answer\":\"Polygraph testing requires specialized machines and human expertise, while machine-learning approaches can operate with less human intervention and aim for more scalable detection.\"},{\"question\":\"Which facial and eye-related features are proposed for deception prediction?\",\"answer\":\"The approach combines facial emotion, facial micro-expressions, eye blink rate, pupil size, and facial action units to improve prediction accuracy.\"}]","Deception/Truthful Prediction Based on Facial Feature and Machine Learning Analysis - Conference paper | PDF",1785818244,18,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"deceptiontruthful-prediction-based-on-facial-feature-and-machine-learning-analysis-conference-paper","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/research-report/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/deceptiontruthful-prediction-based-on-facial-feature-and-machine-learning-analysis-conference-paper/123734/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What is the goal of automatic deception detection in this paper?","Question",{"text":75,"@type":76},"To predict whether a person is truthful or deceptive by analyzing behavioral signals, especially facial features, using machine learning approaches.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"Why are machine-learning methods used instead of polygraph testing?",{"text":80,"@type":76},"Polygraph testing requires specialized machines and human expertise, while machine-learning approaches can operate with less human intervention and aim for more scalable detection.",{"name":82,"@type":73,"acceptedAnswer":83},"Which facial and eye-related features are proposed for deception prediction?",{"text":84,"@type":76},"The approach combines facial emotion, facial micro-expressions, eye blink rate, pupil size, and facial action units to improve prediction accuracy.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,110,115,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":106,"doc_module":4,"doc_module_name":46,"category_name":107,"show_sort_weight":108,"slug":109},5,"Comic",60,"comic",{"id":111,"doc_module":4,"doc_module_name":46,"category_name":112,"show_sort_weight":113,"slug":114},6,"Technology",50,"technology",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":116,"show_sort_weight":117,"slug":118},"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":106,"slug":137},19,"General","general"]