The technology is not just for coaches and high-end competitors. Anyone can use RaceFit in their regular lives. It comes with an exercise app with customizable routines. The app lets you know immediately if any of your movements need improvement, like if your hip position is too high while planking. It can keep track of your progress over time and prescribe new exercises to help you reach your fitness goals.<\/p>\n
Additional sports, like cycling and running, are supported by downloadable modules.And more sports and exercises are being added to the list.<\/p>\n
RaceFit co-founder and CEO Graham Mak says, \u201cWe are not limited to those exercises. We are only limited to human motion. If a customer says, \u2018I\u2019m in a canoe club and I want a canoe program,\u2019 then we can do something like that.\u201d<\/p>\n Mak also has plans to aid physical therapists. Wearing a simpler version of the sensor contained in a single band, patients can perform exercises as instructed by the therapists. The device will help the physical therapist determine if they do it correctly. \u201cThis will save a lot of time and it can be done with multiple patients at the same time.\u201d<\/p>\n Dennis Poon, the company\u2019s Chief Experience Officer, says physiotherapists who use the RaceFit system \u201ccan definitely take care of more patients and, more importantly, they will be able to monitor their recovery.\u201d<\/p>\n A similar use is applicable to older people, especially those who live alone. According to the Hong Kong government<\/a>, around 20% of adults over 65 have a fall at least once a year. Most of those report some kind of injury and nearly 10% break a bone. Since the RaceFit sensors give a complete picture of human movement, the system would know, for example, if a person has fallen down and needs assistance.<\/p>\n \u201cWhat is the active and inactive times in a day? And, what about the time walking or sitting or lying on the bed? What does it represent? And, how can it affect health outcomes?\u201d Mak says.<\/p>\n A long way from the garment industry<\/strong><\/p>\n RaceFit\u2019s journey to understanding human movement began with a much more pedestrian goal. According to Mak, his team just wanted to make a smart garment to revitalize the traditional apparel industry.<\/p>\n After three years of R&D, they decided to change direction and were inspired by the kind of motion-capture suits you see used in a Hollywood special effects production.<\/p>\n That led Mak to ask: \u201cWhat if we understand motion and make recommendations afterwards?\u201d They realized that by using Microsoft Azure cloud, they could build their own AI solution to focus on fitness ability management. \u201cFor example, when you do a push-up, did you do it correctly or incorrectly?\u201d<\/p>\n By being nimble, changing direction, and embracing new technologies, Mak and his team have created new business models that have transformed the company.<\/p>\n Poon sums it up this way, \u201cWe started our company focusing on Sports and Fitness, but we\u2019ve gone way beyond that already.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":" \u201cI can immediately address weaknesses I didn\u2019t even know that I had. I\u2019m feeling more confident about performing my best.\u201d RaceFit\u2019s solution has also been extended to other sports like high-intensity interval training (HIIT) training, cycling and tennis. Soon, RaceFit plans to expand the usability of its app to team sports, like football. Beyond fencing […]<\/p>\n","protected":false},"author":2,"featured_media":103274,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[49],"tags":[135,50],"class_list":["post-103273","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-microsoft-news","tag-artificial-intelligence","tag-recent-news"],"_links":{"self":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts\/103273","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/comments?post=103273"}],"version-history":[{"count":0,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/posts\/103273\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/media\/103274"}],"wp:attachment":[{"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/media?parent=103273"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/categories?post=103273"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/sickgaming.net\/blog\/wp-json\/wp\/v2\/tags?post=103273"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}![\"A](\"https:\/\/www.sickgaming.net\/blog\/wp-content\/uploads\/2019\/11\/en-garde-wearable-iot-and-ai-keep-fencers-on-point.jpg\")
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