SmartMat Real-Time Squatting Feedback
Customer Need Squatting improperly leads to injury Athletes don’t always have feedback about their squatting form while exercising https://www.google.com/imgres?imgurl=http%3A%2F%2Fwww.dr-abbie.com%2Fwp-content%2Fuploads%2F2017%2F08%2Fsquatting-1.jpg&imgrefurl=https%3A%2F%2Fdr-abbie.com%2Ffactsheets%2Fsquatting-with- orthotics%2F&docid=Px_95bXhgGn2cM&tbnid=WvzSR- T1rB3BUM%3A&vet=10ahUKEwjRsdj5tpzlAhVDp1kKHfWtC_cQMwhUKA0wDQ..i&w=404&h=234&bih=578&biw=1280&q=pronated%20vs%20normal%20squat&ved=0ahUKEwjRsdj5tpzlAhVDp1kKHfWtC_cQMwhUKA0wDQ&iact=mrc&uact=8
Product Description: Fitness device that gives real time SmartMat feedback while squatting Intended Customers: High schools; colleges; gyms Market: Smart Fitness Market Engineering Customer Needs Product Attributes Specifications Alert user to improper squat Real time feedback Provides feedback at 50Hz or more form while squatting No interference with normal Non-intrusive Normal range of motion of limbs squat Can be set up and used easily Ease of use Time to calibrate < 5 seconds Used by different people Universal use Fits a squat stance as large as 6 feet Withstand repeated use Repeatability Number of cycles > 1 million Withstand weight associated Durability Can withstand 1000lbs with squatting
SmartMat Alerts user of squat quality by tracking weight distribution Force Sensor Matrix Captures: Knee pronation, Uneven weight distribution, Knee foot alignment
User Interface Feedback Welcome Begin Pronating Calibrate left Name Squatting Heatmap Continue as guest in 3...2...1
Price: around $1000 from user interviews Market: Smart Fitness, $29.4 Billion by 2025 Buyer: Commercial gyms and college/high school athletics programs User: Recreational squatters https://www.grandviewresearch.com/press-release/global-smart-fitness-devices-market
Key Questions What problems in squatting form can we detect from force sensors? How consistent is detection across different users? Can we provide accurate real time feedback on squatting form?
Key Findings Squatting form correlates with foot force distribution Knee pronation and uneven weight distribution detected Calibration provides more accurate data Real time feedback using ROS and Arduino
Going Forward Need to incorporate force sensor matrix Implementation Detecting placement of feet among matrix Further user testing Longevity testing Improvement of UI
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