{"id":25588,"date":"2024-12-24T14:35:25","date_gmt":"2024-12-24T08:50:25","guid":{"rendered":"https:\/\/www.revoscience.com\/en\/?p=25588"},"modified":"2024-12-24T14:36:58","modified_gmt":"2024-12-24T08:51:58","slug":"crossing-the-uncanny-valley-breakthrough-in-technology-for-lifelike-facial-expressions-in-androids","status":"publish","type":"post","link":"https:\/\/www.revoscience.com\/en\/crossing-the-uncanny-valley-breakthrough-in-technology-for-lifelike-facial-expressions-in-androids\/","title":{"rendered":"Crossing the Uncanny Valley: Breakthrough in technology for lifelike facial expressions in androids"},"content":{"rendered":"\n
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Snapshots of a realized sleepy mood expression on a child android robot.<\/em> PHOTO: Researchers<\/em><\/figcaption><\/figure>\n\n\n\n

Osaka, Japan \u2013 Even if an android’s appearance is so realistic that it could be mistaken for a human in a photograph, watching it move in person can feel a bit unsettling. It can smile, frown, or display other various, familiar expressions, but finding a consistent emotional state behind<\/em> those expressions can be difficult, leaving you unsure of what it is truly feeling and creating a sense of unease.<\/p>\n\n\n\n

Until now, when allowing robots that can move many parts of their face, like androids, to display facial expressions for extended periods, a ‘patchwork method’ has been used. This method involves preparing multiple pre-arranged action scenarios to ensure that unnatural facial movements are excluded while switching between these scenarios as needed.<\/p>\n\n\n\n

However, this poses practical challenges, such as preparing complex action scenarios beforehand, minimizing noticeable unnatural movements during transitions, and fine-tuning movements to subtly control the expressions conveyed.<\/p>\n\n\n\n

In this study, lead author Hisashi Ishihara and his research group developed a dynamic facial expression synthesis technology using \u201cwaveform movements,\u201d which represent various gestures that constitute facial movements, such as \u201cbreathing,\u201d \u201cblinking,\u201d and \u201cyawning,\u201d as individual waves. These waves are propagated to the related facial areas and are overlaid to generate complex facial movements in real time. This method eliminates the need for the preparation of complex and diverse action data while also avoiding noticeable movement transitions.<\/p>\n\n\n\n

Furthermore, by introducing \u201cwaveform modulation,\u201d which adjusts the individual waveforms based on the robot’s internal state, changes in internal conditions, such as mood, can be instantly reflected as variations in facial movements.\u00a0<\/p>\n\n\n\n

\u201cAdvancing this research in dynamic facial expression synthesis will enable robots capable of complex facial movements to exhibit more lively expressions and convey mood changes that respond to their surrounding circumstances, including interactions with humans,\u201d says senior author Koichi Osuka. \u201cThis could greatly enrich emotional communication between humans and robots.”<\/p>\n\n\n\n

Ishihara adds, \u201cRather than creating superficial movements, further development of a system in which internal emotions are reflected in every detail of an android’s actions could lead to the creation of androids perceived as having a heart.”<\/p>\n\n\n\n

By realizing the function to adaptively adjust and express emotions, this technology is expected to significantly enhance the value of communication robots, allowing them to exchange information with humans in a more natural, humanlike manner.<\/p>\n","protected":false},"excerpt":{"rendered":"

Even if an android’s appearance is so realistic that it could be mistaken for a human in a photograph, watching it move in person can feel a bit unsettling.<\/p>\n","protected":false},"author":2,"featured_media":25589,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[47,17],"tags":[],"class_list":["post-25588","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-it","category-research"],"featured_image_urls":{"full":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",743,540,false],"thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-200x200.jpg",200,200,true],"medium":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-550x400.jpg",550,400,true],"medium_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",743,540,false],"large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-675x491.jpg",675,491,true],"1536x1536":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",743,540,false],"2048x2048":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",743,540,false],"ultp_layout_landscape_large":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",743,540,false],"ultp_layout_landscape":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",743,540,false],"ultp_layout_portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-600x540.jpg",600,540,true],"ultp_layout_square":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-600x540.jpg",600,540,true],"newspaper-x-single-post":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-743x490.jpg",743,490,true],"newspaper-x-recent-post-big":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-550x360.jpg",550,360,true],"newspaper-x-recent-post-list-image":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot-95x65.jpg",95,65,true],"web-stories-poster-portrait":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",640,465,false],"web-stories-publisher-logo":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",96,70,false],"web-stories-thumbnail":["https:\/\/www.revoscience.com\/en\/wp-content\/uploads\/2024\/12\/child-android-robot.jpg",150,109,false]},"author_info":{"info":["RevoScience"]},"category_info":"IT<\/a> Research<\/a>","tag_info":"Research","comment_count":"0","_links":{"self":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25588","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/comments?post=25588"}],"version-history":[{"count":2,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25588\/revisions"}],"predecessor-version":[{"id":25591,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/posts\/25588\/revisions\/25591"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media\/25589"}],"wp:attachment":[{"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/media?parent=25588"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/categories?post=25588"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.revoscience.com\/en\/wp-json\/wp\/v2\/tags?post=25588"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}