🥸 Do you know what our projects called COURSE, STATS, STRADA, DAIQUIRI, VENTOUX and WCN (Wireless Cycling Network) have in common? 👉 They’re all acronyms. But also: they all originated in Sports Data Science, the research group of Professor Steven Verstockt at UGent (IDLab). The engineering focused group has built a nice portfolio of sports related projects throughout the past years. 🚀 These projects and their respective technologies contain an awful lot of potential to develop further, so that’s why we wanted to showcase each of them in a separate blog. 💭 Let us know which one(s) resonates the most with your interests and ambitions! 🔗 https://loom.ly/AWHSXno
Victoris - Ghent University’s Post
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⛷️ Discovering Innovation on the Slopes! As someone deeply familiar with soccer tech like Statsports, VEO, and Playermaker, I was surprised and intrigued to come across Protern.io at my son’s recent slalom race in Vermont. Protern.io offers cutting-edge technology designed specifically for alpine skiing—a sport where precision and performance improvements can make all the difference. This platform combines data analytics and real-time insights to help athletes and coaches make informed decisions. From optimizing gear and technique to improving race strategies, Protern.io is showing how technology—and even AI—can unlock new levels of potential for skiers. 🎯 The Power of Sports Tech Across Levels: Athlete performance tracking isn’t just for the pros anymore: High School & Club Sports: Over 40% of U.S. high schools now use tech for athlete training and injury prevention. College Athletes: Wearable tech adoption is up 56% in the last five years, driving smarter training regimens. Professional Levels: In 2024, global sports analytics revenue was expected to hit approx $4.9 billion, largely driven by real-time data tools. 🚀 What Makes Protern.io Unique for Skiing? 1️⃣ GPS-Precision Tracking: Captures every turn, gate clearance, and acceleration with centimeter-level accuracy. 2️⃣ AI Insights: Predicts outcomes and suggests adjustments to technique or hardware. 3️⃣ Immediate Feedback: Delivers data in real time, enabling skiers to fine-tune runs instantly. This tech has the potential to shape the future of alpine skiing by giving athletes the tools to make smarter decisions on and off the slopes. Imagine pairing this with AI-driven simulations to predict optimal race lines or dynamic hardware adjustments tailored to each skier’s profile. The possibilities are endless! 🏅 Building Stronger Athletes of the Future Sports tech is transforming how we train and compete—not just in soccer or skiing but across disciplines. It’s an exciting time to see how data can fuel smarter, faster, and healthier athletes at every level. Have you come across innovative sports tech recently? Share in comments #SportsTech #AlpineSkiing #DataDrivenAthletes #AI #Skiing #Sports #Entrepreneur #Startup #Founders
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Physical preparation and injury treatment may be approaching a threshold where higher hierarchical principles are integrated to achieve better and more optimal results. It’s not about physical preparation for its own sake, but rather about three-dimensional spatial adaptation to the environment, utilizing the most effective physiological capabilities to perform the most optimal movements toward the goal. A very interesting example of such adaptation can be found in Ken Ono's works. "How America’s Fastest Swimmers Use Math to Win Gold" "We haven’t discovered or invented any new math. We’re not doing rocket science here. What I think this proves is that the attention to detail that comes from thinking analytically has merit. I want to find the stuff no one else has, and use Newton’s laws, together with experimentation and some linear algebra, to help craft the best performances for the athletes we work with. Except in my case, it really is a digital twin. It looks like an EKG, going tch, tch, tch, and it’s developed based on the data I’ve captured about an athlete’s movements. I can model how they will race under different conditions. Over the last seven or eight years, I’ve collected thousands of swims from over 100 top athletes. So I can race your digital twin against the database, make adjustments, and assemble the optimal formula you should use for your race — how many kicks do you take off the dive, where do you place your hands coming into a turn, how many breaths do you take and in what pattern. It’s curated per athlete, per inch. We can say: If you swim using this formula, you’re going to do the 100-yard backstroke in under 48 seconds." #SportsInnovation #RehabilitationScience #NeuroscienceInSports #FutureOfSports #NeuroRehab #SportsTech #AthletePerformance #SportsScience #NeuroInnovation #MindAndBody #SportsRevolution #NextGenAthletes #SportAndHealth #CuttingEdgeSports #AthleticInnovation
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I love the Olympics. When I was a kid, I dreamed of swimming in the Women's 100 Butterfly event. Swimming is my one sport where I thrived as a kid :) I love the power of a stroke as you move through the water and working to beat your best time. Swimming is both individual and team sport together. Sports has also been the center of much of our work Dottie Rose Foundation and the dot. Consulting with computer science and data analytics. (Stay posted from some fun announcements coming soon around sports) So, when I saw the following article, I was grinning from ear to ear. It shows the true integration of sports, computer science, and STEM. A quick recap of the article: The University of Virginia is pushing the boundaries of athletic performance with innovative research led by renowned math professor Ken Ono. Using advanced acceleration measurement devices, the UVA team is diving deep into the mechanics of swimming to unlock new levels of speed and efficiency for their athletes. This cutting-edge approach not only revolutionizes training methods but also exemplifies the incredible synergy between technology and sports. By harnessing data and scientific analysis, our swimmers are setting new standards and redefining what's possible in the pool. Kudos to UVA for spearheading such transformative work! The future of sports is here, and it's driven by innovation and technology. 🌟 #TechInSports #Innovation #Swimming #UVA #AthleticExcellence #STEM
Swimming’s Secret Weapon
give.as.virginia.edu
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📣 Special announcement for Formula Student teams, it's COMPETITION TIME! 📣 🏎️💨 Did you know drivers need to accumulate at least 40 racing points and 300km of race driving to qualify for F1? 🤔 At The Native Lab, we're dedicated to developing the next generation of talent and sharing industry expertise with our community. We're thrilled to offer a scholarship including 10 TNL Pro accounts for the team that best embodies our passion for competition and motorsport. 🏎️ The winner team will receive: · The Native Lab Pro Scholarship (100%). · 10 TNL Pro accounts. · Online promotion in our social media accounts, The Native Lab and Managing Composites (75,000+ members!). Don't miss this chance to compete outside the racetrack, boost your team’s online visibility, and gain insights from our top-tier composite materials institution @The Native Lab. At TNL we strive to: · Further support Formula Student. · Promote teams and young motorsport talent. 👨🎓 👩🎓 · Continue sharing and supporting Formula Student content with our online community. · Strive for constant educational improvement and course development. 💡 👉 To participate: · Create a LinkedIn post showcasing the latest iteration of your racecar. · Tag The Native Lab in this post. · Vote for your favourite team at The Native Lab’s account! 👉 Period to post your project on LinkedIn: 11/07 - 21/07, 23:59 CET ❗ The Survey will be open: 24/07 - 28/07, 23:59 CET 🎁 Results will be announced on July 29th, 2024 hashtag #Composites hashtag #Compositematerials hashtag #ManagingComposites hashtag #Thenativelab hashtag #scholarship hashtag #formula hashtag #formulastudent hashtag #motorsport hashtag #competition hashtag #tnl
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#AI #ML #Tech Plotting Golf Courses in R with Google Earth: A user guide to mapping golf courses in Google Earth and bringing them to life in R. In the land of data viz, we are often inundated with bar, line, and pie charts. But it doesn’t have to be that way — in this article, I will demonstrate how to plot golf courses.Image by the author Introduction There are close to 40,000 golf courses worldwide. If you are passionate about golf and/or data like I am then this is for you. After plotting a course, there are some other cool things we can do as well: * Overlaying shots onto course map — this can be done with some manipulation using the Plotly package, or by downloading individual golf shot “placemarks” from Google Earth and plotting them as points on our map. For that time you first broke 90, 80,70, etc. this could be a good way to commemorate the triumph. * Calculating course metrics— it is generally known that Pebble Beach has tiny “postage stamp” greens. Or that Whistling Straits has tons of bunkers. A secondary benefit that comes with tracing course element polygons is being able to calculate the area of each. This allows us to derive average green sizes, number of bunkers, average width of fairways, etc. for any course that we plot. The above bullet points are not a comprehensive list by any means, but it gives the project a future roadmap to expand on. Table of Contents I will start by introducing the steps of the project, and later go into more detail of each: * trace polygons in Google Earth that represent elements of a golf course (tee boxes, fairways, bunkers, greens, water, hazards) * download polygons from Google Earth as KML file * read KML data into R and do some light data cleaning/manipulation * plot golf course using ggplot2 Polygon Tracing in Google Earth To begin, let’s head to Google Earth with a golf course in mind that we would like to plot. We will use Erin Hills in Wisconsin as a example. It is often helpful to either be familiar with the course layout or have a course map pulled up to more easily identify each hole via satellite imagery. We will want to create a new project by clicking the blue “+ New” button in the top left corner. Next, we will use a Local KML file and click “Create”. Lastly, give the project a name, likely just the name of the course being mapped. The name of the project will be the name of the KML file we end up downloading upon completion.Image from Google Earth, edited by the author Now that our project folder is set up, we can start tracing. Disclaimer that Erin Hills has 138 bunkers, which I found out the hard way can be a bit tedious to trace… Anyway, let’s head to the first tee to start tracing. Once at the first tee, start by identifying the key elements of the hole. The first hole at Erin Hills has water and a hazard left of the fairway, a fairway… #MachineLearning #ArtificialIntelligence #DataScience
Plotting Golf Courses in R with Google Earth
towardsdatascience.com
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"Untethered and physically unassisted, I lined up at the start of the race, surrounded by thousands of runners. I had previously run races holding a rope and tied to a guide person, but this was a brand new experience. I felt free as the horn went off and we rushed through the streets of Stockholm to the sound of a cheering audience. As I crossed the finish line, I was overwhelmed with pride and joy. I had not only completed the race, but I had done it feeling truly free." Project Guideline isn't a new tech, but it's always great to see it in action - helping people who are blind get involved in sport. To learn more about Fatmir Seremeti's half marathon, run independently, check out this blog post! #ProjectGuideline Google
How Project Guideline helped me run a half marathon independently
blog.google
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How can cities foster synergies between cycling and public transport to improve job accessibility?🚲 🚎 New Delft University of Technology (#DCEnetwork) study introduces a method to identify most relevant locations cycle-and-ride infrastructure from an accessibility perspective. Interactive Data Story 👉 https://lnkd.in/eYaDYaHT Research article 👉 https://lnkd.in/eTF2SuKJ
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🏃♀️ Ready, set, go! We are excited to announce that we are building the world’s first sensor-enabled performance running track to transform the world of athletics. Our ambition is big and bold. To redefine athletic performance and live sports entertainment through digitising the track 🥇 As the first major advancement in sports flooring technology in nearly 60 years, we want to give Athletics the spotlight it deserves 🙌 Here is why we think our track will be revolutionary ⬇️ ◼️ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗲𝗻𝘀𝗼𝗿𝘀: Real-time measurement directly through the athlete's footstep on the track. ◼️ 𝗣𝗮𝘁𝗲𝗻𝘁-𝗣𝗲𝗻𝗱𝗶𝗻𝗴 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Pushing the boundaries of human performance for faster running speed. ◼️ 𝗔𝗜-𝗗𝗿𝗶𝘃𝗲𝗻 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Transform coaching, optimise training, and identify potential injury risks. ◼️ 𝗘𝗻𝗵𝗮𝗻𝗰𝗲𝗱 𝗙𝗮𝗻 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Offer real-time data and new engagement levels for fans and spectators. Founded by former professional track runner Alvina Chen, the inspiration to innovate the track struck during her racing career. What if we could run faster by reinventing the track? 🤔 While we are working hard on getting our vision to reality, we will keep you fully updated here, so stay tuned for exciting news and updates in the coming months! Read more here: https://lnkd.in/e6rzE2ck #ReinventAthletics #Feldspar #SportTechnology #Athletics #deeptech #livesport #PioneeringInnovation #Innovation #technology #tech #sportstech #sports #sport #sportstechtalk
We are transforming athletics with the first sensor-enabled performance running track 🏃💨🥇
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🚴♂️ Cycling Meets Data Science! 📊 After biking over 3,000 kilometers this year and tracking my rides with the application Strava, I decided to combine my passion for cycling with my love for data science. The result? A project that predicts travel time on cycling segments using machine learning! Through data analysis, I uncovered key factors like distance, elevation gain, and grade that influence performance. Then, I trained models including Linear Regression, Random Forest, and Gradient Boosting. Whether you're a cyclist looking to plan better rides or just curious about the power of data, this project demonstrates the exciting intersection of sports and machine learning. #DataScience #MachineLearning #Cycling #SportsAnalytics #PassionProjects
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📣 COMPETITION TIME! 📣 🏎️💨 Did you know drivers need to accumulate at least 40 racing points and 300km of race driving to qualify for F1? 🤔 At The Native Lab, we're dedicated to developing the next generation of talent and sharing industry expertise with our community. We're thrilled to offer a scholarship including 10 TNL Pro accounts for the team that best embodies our passion for competition and motorsport. 🏎️ The winner team will receive: · The Native Lab Pro Scholarship (100%). · 10 TNL Pro accounts. · Online promotion in our social media accounts, The Native Lab and Managing Composites (75,000+ members!). Don't miss this chance to compete outside the racetrack, boost your team’s online visibility, and gain insights from our top-tier composite materials institution The Native Lab. At TNL we strive to: · Further support Formula Student. · Promote teams and young motorsport talent. 👨🎓 👩🎓 · Continue sharing and supporting Formula Student content with our online community. · Strive for constant educational improvement and course development. 💡 👉 To participate: · Create a LinkedIn post showcasing the latest iteration of your racecar. · Tag The Native Lab in this post. · Vote for your favorite team at The Native Lab’s account! 👉 Period to post your project on LinkedIn: 11/07 - 21/07, 23:59 CET ❗ The Survey will be open: 24/07 - 28/07, 23:59 CET 🎁 Results will be announced on July 29th, 2024 #Composites #Compositematerials #ManagingComposites #Thenativelab #scholarship #formula #formulastudent #motorsport #competition #tnl
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