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Category: Blog

Connected Strength Training

ShapeLog and Life Fitness

ShapeLog and Life Fitness Partner to Deliver Innovative Connected Strength Solutions

ShapeLog connected strength technology tracks exercisers’ progress in real time on strength training equipment CHICAGO, May 04, 2021 (GLOBE NEWSWIRE) — Gym members want data-driven experiences to help them on their fitness journey. But strength training data has lagged behind cardiovascular data for decades. To provide analytics for the millions of people who enjoy strength…
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How Muscles Work (Part 2 of 2)

This is the second of a two part series explaining how muscles work. In this first article we describe the gross structure of skeletal muscle; in the second article I describe skeletal muscle ultrastructure and how muscles develop tension. Skeletal Muscle Ultrastructure Highly technical and sophisticated techniques that include electron microscopy, x-ray diffraction, histochemical staining,…
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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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Group Training Meets Strength Training: Bringing Group Fitness to the Weight Room

Our vision for ShapeLog has always been to deliver an experience unlike any other in the field of strength training. And one message that we can’t push enough is how useful a tool like that will be for personal trainers. Personal training isn’t an easy job. With challenges finding unique fitness services to sell, and…
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Data-Driven Workouts with Drive Fitness

We love talking about what other people are doing in connected strength training. That is why we are excited to introduce you to Tom Driver, creator of Drive Fitness. Tom has been hard at work getting his software up and running, and we think that his vision for the future of weight training is something that simply can’t go unshared. “I have always…
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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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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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