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Author: Brian Hayden

Connected Strength Training

Strength Tracking Sensor Performance Validated Against More Expensive Solutions

New strength training research was presented on Friday July 12th at the NSCA national conference in Washington DC. Research from the University of Toledo compared the accuracy of ShapeLog’s low-cost retrofit sensor with the isokinetic Biodex device found in human performance labs around the globe. Data from ShapeLog’s portable, retrofit device was compared to data…
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Definitive Guide to User Identification in Connected Strength Training

Friction kills retention. So every company selling a fitness experience is obsessive about minimizing friction. Strength workouts are more varied than cardio workouts – you’re moving to different stations constantly – so there are more ‘check in’ points. Checking in = friction. All that friction adds up to a crappy experience that only the most…
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Passive Data Collection: Monetizing the Other 90%

Less than 10% of the members at my gym take active steps to track their workouts. When it comes to fitness technology products, I observe two realities: First is a theoretical world where technology is ubiquitous. Humans and robots seamlessly interacting, pushing ever closer toward lofty, clearly defined goals. This theoretical world is what you…
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ShapeLog® IP Portfolio Continues to Grow: New Registered Trademarks

ShapeLog’s name and mark are now registered trademarks with the United States Patent & Trademark Office. We’d like to thank Joseph Morrison‘s team at Bodman, who initiated the project and saw it through with support from Automation Alley. The trademarks are the latest addition to ShapeLog’s growing IP portfolio. It’s another indication of the unique story…
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Video: ShapeLog is the Simplest, Fastest Connected Strength Solution to Install

  Sometimes it’s hard to describe something, but easy to show it. That’s certainly true for demonstrating the quick, simple installation of ShapeLog’s connected strength training solution. After trying to describe it at a trade show, we decided to go shoot a quick iPhone video. Notice how the installations are all done in less than…
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“Rate of Force Development” – How Advanced Metrics Blur Line Between Fitness and Healthcare

In 2012 the Journal of Orthopaedic & Sports Physical Therapy published a research study showing “Rate of Force Development” (RFD) is more accurate than traditional strength metrics in determining recovery and readiness for return to sport after ACL injuries. This makes intuitive sense, right? Every athlete knows injuries (or re-injuries) are most likely to happen…
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ShapeLog FIBO 2018

Developers: You can download a sample data set to see what ShapeLog’s connected strength training platform captures. (click here to download the .csv file) I want to explain why ShapeLog won a fitness innovation award at the 2018 consumer electronics show and how fitness clubs can capitalize on the major trends in fitness. Start by Googling “strong…
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Award-Winning Connected Strength Platform Featured at the 2018 Consumer Electronics Show

ShapeLog is going to CES as an Innovation Award Honoree. CES is the most fun trade show on the planet. We hope you can make it. Our award-winning connected strength training platform will be featured in three locations: Eureka Park Booth #50012. This is where our team will be hanging out and meeting people. As…
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How a New Data Source Fueled the Connected Cycling Boom

This post originally appeared on the Fitness Industry Technology Council’s blog, and was co-authored by Karl Etzel from Firstbeat Technologies, and Paul Lockington from the FIT-C Advisory Board. Up until the late 1990’s, cyclists based their training programs on distance, speed, pedaling cadence and occasionally heart rate.  In the early 90’s a German company called SRM…
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How Much is the World’s Best Strength Training Data Set Worth?

It depends, of course, on what we (and you) can do with it. Value of data maps to the value of the products and services built on the data. To create experiences people love, the data should be: Broad. Because fitness preferences are fragmented. Deep. Because if you know interesting things, you can build stickier…
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