{"id":29319,"date":"2026-09-27T07:51:19","date_gmt":"2026-09-27T07:51:19","guid":{"rendered":"https:\/\/koshalsambada.in\/?p=29319"},"modified":"2026-09-27T07:51:19","modified_gmt":"2026-09-27T07:51:19","slug":"meet-ruoqi-li-16-and-jason-yang-17-the-california-teens-who-built-an-ai-fall-risk-system-for-older-adults-using-a-smartphone-and-wearable-sensors-their-project-won-a-shared-100000-davidson-scho","status":"publish","type":"post","link":"https:\/\/koshalsambada.in\/?p=29319","title":{"rendered":"Meet Ruoqi Li, 16, and Jason Yang, 17, the California teens who built an AI fall-risk system for older adults using a smartphone and wearable sensors; their project won a shared $100,000 Davidson scholarship"},"content":{"rendered":"<p><br \/>\n<\/p>\n<div>\n<div class=\"e9jwa\">\n<div class=\"vdo_embedd\">\n<div class=\"GfdvZ\">\n<section class=\"_bIDB  clearfix id-r-component leadmedia undefined undefined  E9tg9 \" style=\"top:0px\">\n<div class=\"_bIDB\" data-ua-type=\"1\" onclick=\"stpPgtnAndPrvntDefault(event)\">\n<div class=\"ypVvZ\">\n<div class=\"WGttI\"><img src=\"https:\/\/static.toiimg.com\/thumb\/msid-134508296,imgsize-68742,width-400,height-225,resizemode-4\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg\" alt=\"Meet Ruoqi Li, 16, and Jason Yang, 17, the California teens who built an AI fall-risk system for older adults using a smartphone and wearable sensors; their project won a shared $100,000 Davidson scholarship\" title=\"Their interest grew after seeing family members suffer serious injuries from falls.\" decoding=\"async\" fetchpriority=\"high\"\/><\/div>\n<\/div>\n<\/div>\n<div class=\"Ta7d_ img_cptn\"><span title=\"Their interest grew after seeing family members suffer serious injuries from falls.\">Their interest grew after seeing family members suffer serious injuries from falls.<\/span><\/div>\n<\/section>\n<\/div><\/div>\n<\/div>\n<p>Two California teenagers, Ruoqi Li, 16, and Jason Yang, 17, have developed an artificial intelligence-powered system designed to identify fall risks in older adults before a fall occurs.<!-- --> According to Davidson Institute, the project, called SafeStrides, combines a smartphone application with wearable sensors to analyse walking patterns and provide an assessment of a person&#8217;s fall risk.<span class=\"id-r-component br\" data-pos=\"3\"\/>Li, a junior at The Harker School in San Jose, and Yang, a senior at Head-Royce School, developed the project as a way to make fall-risk assessment more accessible outside medical facilities. Their work has now earned them recognition as 2026 Davidson Fellows and a shared $100,000 scholarship in the engineering category.<span class=\"id-r-component br\" data-pos=\"7\"\/>The teenagers said their interest in the problem was influenced by seeing family members suffer serious injuries after falls. As they researched the issue, they found that falls are a major cause of injury and injury-related death among older adults. The project description by the Davidson Institute says one in four older adults falls every year.<span class=\"id-r-component br\" data-pos=\"9\"\/>With SafeStrides, instead of waiting for a fall to happen or relying only on occasional assessments at a clinic, an older adult could use a smartphone and wearable sensors at home for regular screening. The system collects movement data and uses AI to identify changes that could indicate an increased risk of falling.<span class=\"id-r-component br\" data-pos=\"13\"\/><\/p>\n<p><h2>How SafeStrides works<\/h2>\n<\/p>\n<p><span class=\"id-r-component br\" data-pos=\"15\"\/>SafeStrides uses a smartphone camera and wearable sensors to study how an older person walks. During a short guided test, the application collects video and sensor data and combines them for an assessment.<span class=\"id-r-component br\" data-pos=\"17\"\/>The wearable system uses inertial measurement units, or IMUs, along with pressure insoles. An IMU can capture movement-related information, while pressure insoles provide data about how a person places weight on their feet. <!-- -->These different types of information are brought together so the system can examine walking and movement in more detail.<span class=\"id-r-component br\" data-pos=\"21\"\/>The smartphone application synchronises the sensor data with a live camera feed. It then uses multimodal AI to produce an evaluation of fall risk. The system also gives practical suggestions related to mobility and home safety.<span class=\"id-r-component br\" data-pos=\"23\"\/>SafeStrides is intended to identify changes months before a fall happens, allowing older adults to take steps towards improving mobility and safety.<span class=\"id-r-component br\" data-pos=\"26\"\/>The system was developed to address limitations the teenagers identified in conventional fall-risk assessments. According to their project description, clinical assessments can require older adults to travel to medical facilities and can depend on physician availability. They also said many people are screened only once a year, which may make it harder to identify rapid changes in physical condition.<span class=\"id-r-component br\" data-pos=\"28\"\/><\/p>\n<div data-pos=\"0\" class=\"id-r-component iIpbx undefined  &#10;        \">\n<div><img decoding=\"async\" alt=\"Building the system also required several rounds of engineering work.\" msid=\"134508309\" imgsize=\"55953\" resizemode=\"4\" width=\"\" title=\"Building the system also required several rounds of engineering work. \" placeholdersrc=\"https:\/\/static.toiimg.com\/photo\/83033472.cms\" offsetvertical=\"0\" placeholdermsid=\"47529300\" type=\"thumb\" class=\"\" src=\"https:\/\/static.toiimg.com\/photo\/imgsize-55953,msid-134508309\/building-the-system-also-required-several-rounds-of-engineering-work.jpg\" data-api-prerender=\"true\"\/><\/p>\n<p>Building the system also required several rounds of engineering work. <\/p>\n<\/div>\n<\/div>\n<p><span class=\"id-r-component br\" data-pos=\"30\"\/><\/p>\n<p><h2>From a bulky prototype to wearable sensors<\/h2>\n<\/p>\n<p><span class=\"id-r-component br\" data-pos=\"32\"\/>Building the system also required several rounds of engineering work. <!-- -->The first version of SafeStrides was an Arduino-based prototype. Although it worked, the teenagers said it was bulky and could only process the collected information after testing was completed.<span class=\"id-r-component br\" data-pos=\"36\"\/>They then developed a second-generation system using IMUs, pressure insoles, an ESP32 microcontroller and Bluetooth modules. These changes allowed them to create a system that could collect and transmit sensor information in real time.<span class=\"id-r-component br\" data-pos=\"39\"\/>A third generation focused on the physical design of the wearable system. The teenagers made it more compact and lightweight so it could be worn more comfortably and without getting in the way of normal movement.<span class=\"id-r-component br\" data-pos=\"41\"\/>At the same time, they developed a cross-platform mobile application using Flutter. The app connects to the wearable hardware through Bluetooth and automatically synchronises high-frequency sensor streams with live camera footage.<span class=\"id-r-component br\" data-pos=\"44\"\/>This created a single system in which movement captured by the wearable sensors and the smartphone camera can be analysed together. The teenagers describe this combination as a multimodal approach because it brings together different forms of data instead of relying on just one measurement.<span class=\"id-r-component br\" data-pos=\"46\"\/><\/p>\n<p><h2>Designed for use at home and in clinics<\/h2>\n<\/p>\n<p><span class=\"id-r-component br\" data-pos=\"48\"\/>SafeStrides is intended to work both at home and in clinical settings. At home, the system could allow older adults to complete guided assessments without travelling to a medical facility. <!-- -->The app can then provide an immediate evaluation and suggestions related to mobility and home safety.<span class=\"id-r-component br\" data-pos=\"52\"\/>Meanwhile, medical assistants could use SafeStrides to conduct fall-risk evaluations without requiring direct physician involvement for every screening. The teenagers said this could make assessments more consistent and easier to carry out.<span class=\"id-r-component br\" data-pos=\"54\"\/>Their project description says the system is designed for the world&#8217;s 1.2 billion older adults. <!-- -->They also said it could help shift fall prevention away from occasional screening towards more continuous monitoring.<span class=\"id-r-component br\" data-pos=\"58\"\/>The approach is different from reactive medical alert devices, which are generally intended to notify someone after a fall has already happened.<span class=\"id-r-component br\" data-pos=\"60\"\/>For Li, the Davidson Fellowship is also connected to her plans for the future. She said she wants to study an interdisciplinary subject combining artificial intelligence and healthcare and hopes to develop technologies that improve quality of life.<span class=\"id-r-component br\" data-pos=\"63\"\/>&#8220;To me, being recognized as a Davidson Fellow not only represents personal achievement but also inspires me to turn technical research into practical tools that help others, proving that young innovators can tackle society\u2019s most urgent challenges. I am honored and excited to join the community of Davidson Fellows,&#8221; Li said.<span class=\"id-r-component br\" data-pos=\"65\"\/>Yang plans to study electrical or systems engineering and continue working on embedded technologies. <!-- -->He has previously built circuits, developed real-time data processing systems and designed mechanical components for functional prototypes.<span class=\"id-r-component br\" data-pos=\"69\"\/>&#8220;I\u2019m incredibly honored to be a Davidson Fellow. This recognition affirms our commitment to developing practical, human-centered technologies and raising awareness of early fall risk detection in older adults,&#8221; Yang said.<span class=\"id-r-component br\" data-pos=\"72\"\/>&#8220;By making fall risk assessment more accessible and proactive, we hope to encourage earlier intervention and help more seniors maintain their safety, health and independence,&#8221; he added.<span class=\"id-r-component br\" data-pos=\"75\"\/>The Davidson Institute listed Li and Yang among the 2026 Davidson Fellows receiving a $100,000 scholarship in engineering. The fellowship recognises students aged 18 and younger for significant achievements and innovative projects.<\/div>\n<p><br \/>\n<br \/><a href=\"https:\/\/timesofindia.indiatimes.com\/world\/us\/meet-ruoqi-li-16-and-jason-yang-17-the-california-teens-who-built-an-ai-fall-risk-system-for-older-adults-using-a-smartphone-and-wearable-sensors-their-project-won-a-shared-100000-davidson-scholarship\/articleshow\/134507926.cms\" target=\"_blank\" rel=\"noopener\">Source link <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Their interest grew after seeing family members suffer serious injuries from falls. Two California teenagers, Ruoqi Li, 16, and Jason Yang, 17, have developed an artificial intelligence-powered system designed to identify fall risks in older adults before a fall occurs. According to Davidson Institute, the project, called SafeStrides, combines a smartphone application with wearable sensors [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":29320,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[],"class_list":["post-29319","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-31"],"magazineBlocksPostFeaturedMedia":{"thumbnail":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","medium":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","medium_large":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","large":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","1536x1536":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","2048x2048":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-small":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-small-tall":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-small-square":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-small-masonry":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-medium":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-medium-masonry":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-large":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg","blogsy-wide":"https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg"},"magazineBlocksPostAuthor":{"name":"admin","avatar":"https:\/\/secure.gravatar.com\/avatar\/8709732a479614e7a8aa24d3eb1b239f30dc6d90c61464ed495001e7a469d856?s=96&d=mm&r=g"},"magazineBlocksPostCommentsNumber":"0","magazineBlocksPostExcerpt":"Their interest grew after seeing family members suffer serious injuries from falls. Two California teenagers, Ruoqi Li, 16, and Jason Yang, 17, have developed an artificial intelligence-powered system designed to identify fall risks in older adults before a fall occurs. According to Davidson Institute, the project, called SafeStrides, combines a smartphone application with wearable sensors [&hellip;]","magazineBlocksPostCategories":["\u0b26\u0b47\u0b36 \u0b2c\u0b3f\u0b26\u0b47\u0b36"],"magazineBlocksPostViewCount":1,"magazineBlocksPostReadTime":5,"magazine_blocks_featured_image_url":{"full":["https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg",400,225,false],"medium":["https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg",300,169,false],"thumbnail":["https:\/\/koshalsambada.in\/wp-content\/uploads\/2026\/09\/their-interest-grew-after-seeing-family-members-suffer-serious-injuries-from-falls.jpg",150,84,false]},"magazine_blocks_author":{"display_name":"admin","author_link":"https:\/\/koshalsambada.in\/author\/admin"},"magazine_blocks_comment":0,"magazine_blocks_author_image":"https:\/\/secure.gravatar.com\/avatar\/8709732a479614e7a8aa24d3eb1b239f30dc6d90c61464ed495001e7a469d856?s=96&d=mm&r=g","magazine_blocks_category":"<a href=\"#\" class=\"category-link category-link-31\">\u0b26\u0b47\u0b36 \u0b2c\u0b3f\u0b26\u0b47\u0b36<\/a>","_links":{"self":[{"href":"https:\/\/koshalsambada.in\/index.php?rest_route=\/wp\/v2\/posts\/29319","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/koshalsambada.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/koshalsambada.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/koshalsambada.in\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/koshalsambada.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=29319"}],"version-history":[{"count":0,"href":"https:\/\/koshalsambada.in\/index.php?rest_route=\/wp\/v2\/posts\/29319\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/koshalsambada.in\/index.php?rest_route=\/wp\/v2\/media\/29320"}],"wp:attachment":[{"href":"https:\/\/koshalsambada.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=29319"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/koshalsambada.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=29319"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/koshalsambada.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=29319"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}