[{"data":1,"prerenderedAt":112},["ShallowReactive",2],{"AKW4kNNe2qGQIZzl-o9FKt-Mt43TuY-H9lE3apR8oPQ":3,"_apollo:default":110,"_apollo:identified":111},{"allSettings":4,"seo":10,"posts":21},{"customSettings":5,"__typename":9},{"urlFront":6,"urlPreview":7,"__typename":8},"https:\u002F\u002Fblog.3ds.com","https:\u002F\u002Fblog-build-prd.itvpc.3ds.com","CustomSettings","Settings",{"social":11,"openGraph":17,"__typename":20},{"twitter":12,"__typename":16},{"cardType":13,"username":14,"__typename":15},"summary_large_image","dassault3ds","SEOSocialTwitter","SEOSocial",{"defaultImage":18,"__typename":19},null,"SEOOpenGraph","SEOConfig",{"nodes":22,"__typename":109},[23],{"id":24,"slug":25,"title":26,"uri":27,"excerpt":28,"locale":29,"featuredImage":32,"tableOfContents":35,"content":36,"date":37,"translations":38,"author":39,"topics":52,"globalTags":88,"brands":91,"keywords":94,"seo":97,"__typename":108},"cG9zdDoxNTczNTg=","how-does-ai-help-us","How Do Wearables Help To Keep Workers Safe?","\u002Ftopics\u002Fmanufacturing\u002Fhow-does-ai-help-us","\u003Cp>Production work is physical work, even in digital, automated manufacturing. Workers still get…\u003C\u002Fp>\n",{"locale":30,"__typename":31},"en_US","Locale",{"node":33},{"large":34,"medium_large":34,"thumbnail":34,"srcSet":34,"sizes":34},false,[],"\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2022\u002F03\u002Fdigital-f_square-300x300-2.jpg\" alt=\"\" class=\"wp-image-196405\" srcset=\"https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2022\u002F03\u002Fdigital-f_square-300x300-2.jpg 300w, https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2022\u002F03\u002Fdigital-f_square-300x300-2-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \u002F>\u003C\u002Ffigure>\n\n\n\u003Cp>Production work is physical work, even in \u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Fbrands\u002Fnorthamerica\u002Fbusiness-leaders-eye-2019-tech-trends\u002F\"  rel=\"noopener noreferrer\">digital, automated manufacturing\u003C\u002Fa>. Workers still get fatigued, and when they are tired they can make mistakes, and are susceptible to occupational accidents. A number of companies have melded life sciences and industrial work, introducing wearables that help manage the risks by gathering real-time biometric and environmental data from workers, then turning machine learning loose in the \u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Fbrands\u002Fnorthamerica\u002Fdigital-manufacturing-has-its-head-in-the-cloud\u002F\"  rel=\"noopener noreferrer\">cloud to transform the bagged data into predictors\u003C\u002Fa> of diminished function.\u003C\u002Fp>\n\u003Cp>The good news is, work is safer overall. The \u003Ca href=\"https:\u002F\u002Fwww.bls.gov\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">U.S. Department of Labor’s Bureau of Labor Statistics\u003C\u002Fa> (BLS) said that private industry employers reported nearly 45,800 fewer nonfatal injury and illness cases in 2017 compared to a year earlier; the 2017 rate of total recordable cases fell 0.1 cases per 100 full-time equivalent workers (FTEs), continuing a pattern of declines that, apart from 2012, has occurred annually since 2004. Yet the totals for sprains, strains and tears—34,110 in 2017, and the leading type of injury in manufacturing—were unchanged from 2016.\u003C\u002Fp>\n\u003Cp>So there’s plenty more to be done. \u003Ca href=\"http:\u002F\u002Fcanariatechnologies.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Canaria Technologies\u003C\u002Fa> takes a \u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Fbrands\u002Fnorthamerica\u002Fterminator-turns-facilitator-wearables-for-the-augmented-workforce\u002F\"  rel=\"noopener noreferrer\">wearables approach\u003C\u002Fa>, via an earpiece it designed for a \u003Ca href=\"https:\u002F\u002Fwww.spaceappschallenge.org\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">NASA International Space Apps Challenge\u003C\u002Fa> (it won) to capture astronaut data without impeding their work. The predictive medical device is now used across industries, like manufacturing, to monitor things like heart rate variability—a strong indicator of cognitive fatigue—and respiratory rate.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"http:\u002F\u002Fwww.bodytrak.co\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Bodytrak\u003C\u002Fa> adds a machine learning wrinkle. Its in-ear wearable continuously monitors parameters like core body temperature, heart rate, VO2 (maximal oxygen consumption, a reflection of cardiorespiratory fitness), and motion (including fall detection). It sends the \u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Fbrands\u002Fnorthamerica\u002Fanalytics-are-the-key-to-getting-value-from-iiot\u002F\"  rel=\"noopener noreferrer\">data in real-time to mobile platforms and to a cloud-based analytics platform\u003C\u002Fa>, where machine learning generates insights and alerts.\u003C\u002Fp>\n\u003Cp>Another entrant in the field is \u003Ca href=\"https:\u002F\u002Fwww.wearkinetic.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Kinetic\u003C\u002Fa>, which takes a continuous feedback and learning approach that seems especially suited to today’s \u003Ca href=\"https:\u002F\u002Fblog.3ds.com\u002Fbrands\u002Fnorthamerica\u002Fbrick-and-mortar-reimagined-when-sales-logistics-design-and-manufacturing-become-one\u002F\"  rel=\"noopener noreferrer\">fast-supply chain and distribution center\u003C\u002Fa> work in e-commerce, where workers constantly court risk while lifting, twisting and turning. In warehousing and storage, for example, the BLS reported that Days Away From Work (DAFW) cases rose 2,930 in 2017, to 17,390.\u003C\u002Fp>\n\n\u003Cfigure class=\"wp-block-image size-large\">\u003Cimg loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"300\" src=\"https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2022\u002F03\u002Fdigital-f2_square-300x300-2.jpg\" alt=\"\" class=\"wp-image-196406\" srcset=\"https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2022\u002F03\u002Fdigital-f2_square-300x300-2.jpg 300w, https:\u002F\u002Fblog-assets.3ds.com\u002Fuploads\u002F2022\u002F03\u002Fdigital-f2_square-300x300-2-150x150.jpg 150w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \u002F>\u003C\u002Ffigure>\n\n\n\u003Cp>Kinetic offers REFLEX, a smart device about as small as a cellphone that’s powered by a stamp-sized computer from \u003Ca href=\"https:\u002F\u002Fwww.digi.com\u002Fproducts\u002Fembedded-systems\u002Fsingle-board-computers\" target=\"_blank\" rel=\"noopener noreferrer\">Digi International\u003C\u002Fa> and worn on the belt. Using sensors and biomechanical analysis, it determines when workers are moving with correct posture, detects high-risk postures, and gives workers immediate feedback about high-risk motions. The unit syncs to a dashboard after each shift to present visual analyses, summaries, and risk profiles of an individual’s safety habits.\u003C\u002Fp>\n\u003Cp>“When workers deviate from the best-practice protocols for their posture, lifting, and movements, it most often leads to preventable injuries,”says Kinetic co-founder and CTO Aditya Bansal. “We recognized there was an opportunity to provide real-time coaching to employees that helps them remember and apply the techniques.”\u003C\u002Fp>\n\u003Cp>One hundred years after the introduction of the hard hat in 1919, suiting up for the job in manufacturing is taking on a whole new look.\u003C\u002Fp>\n\u003Cp>This post was originally posted on March 19, 2019.\u003C\u002Fp>","2020-03-06T12:00:18",[],{"node":40,"__typename":51},{"nicename":41,"description":42,"slug":41,"name":43,"firstName":44,"lastName":45,"avatar":46,"__typename":50},"johnmartin","John Martin writes about technology, business, science, and general-interest topics.  A former U.S. correspondent for The Economist (Science & Technology), he writes for the private sector, universities, and media, and can be reached at jm@jmagency.com.","John Martin","John","Martin",{"default":47,"url":48,"__typename":49},"mm","https:\u002F\u002Fsecure.gravatar.com\u002Favatar\u002F380916e4e1619e102f5a5223f70bc52500aeeb7c10e897086a8b467e67fc1965?s=96&d=mm&r=g","Avatar","User","NodeWithAuthorToUserConnectionEdge",{"edges":53,"nodes":80,"__typename":87},[54,72],{"isPrimary":34,"node":55,"__typename":71},{"slug":56,"name":57,"topics":58,"__typename":70},"manufacturing","Manufacturing",{"nodes":59,"__typename":69},[60],{"translations":61,"__typename":68},[62,65],{"post_title":57,"locale":63,"__typename":64},"fr_FR","Translation",{"post_title":66,"locale":67,"__typename":64},"製造業","ja","Topic","Taxonomy_topicToTopicConnection","Taxonomy_topic","PostToTaxonomy_topicConnectionEdge",{"isPrimary":34,"node":73,"__typename":71},{"slug":74,"name":75,"topics":76,"__typename":70},"virtual-experience","Virtual Experience",{"nodes":77,"__typename":69},[78],{"translations":79,"__typename":68},[],[81,84],{"id":82,"name":57,"slug":56,"uri":83,"__typename":70},"dGVybTo4MDE0","\u002Ftopics\u002Fmanufacturing\u002F",{"id":85,"name":75,"slug":74,"uri":86,"__typename":70},"dGVybTo4NTY0","\u002Ftopics\u002Fvirtual-experience\u002F","PostToTaxonomy_topicConnection",{"nodes":89,"__typename":90},[],"PostToTaxonomy_tagConnection",{"nodes":92,"__typename":93},[],"PostToTaxonomy_brandConnection",{"nodes":95,"__typename":96},[],"PostToTaxonomy_keywordConnection",{"canonical":98,"title":99,"metaDesc":100,"opengraphAuthor":101,"opengraphDescription":100,"opengraphTitle":26,"opengraphUrl":98,"opengraphSiteName":102,"opengraphPublishedTime":103,"opengraphModifiedTime":104,"twitterTitle":101,"twitterDescription":101,"readingTime":105,"metaRobotsNoindex":106,"__typename":107},"https:\u002F\u002Fblog-frontoffice-contrib-prd.itvpc.3ds.com\u002Ftopics\u002Fvirtual-experience\u002Fhow-does-ai-help-us\u002F","How Do Wearables Help To Keep Workers Safe? - Dassault Systèmes blog","Companies can meld life sciences and industrial work by using wearables that help manage risks by gathering real-time biometric and environmental data.","","Dassault Systèmes blog","2020-03-06T17:00:18+00:00","2022-06-14T08:56:44+00:00",2,"index","PostTypeSEO","Post","RootQueryToPostConnection",{},{},1790024017963]