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SmartBarbell by JuggernautAI

SmartBarbell by JuggernautAI

Juggernaut Apps

Health & Fitness免费v1.1.1
App Store
评分

4.6

7 条评分

星级

★★★★★

最近更新

2024年6月11日

发布日期

2024年5月14日

更新内容

v1.1.1

Minor bug fix

应用信息

开发者
Juggernaut Apps
分类
Health & Fitness
价格
免费
版本
1.1.1
App ID
6479318757

简介

Train. Measure. Improve. We are excited to add SmartBarbell to the Juggernaut Apps family. SmartBarbell brings powerful velocity tracking technology right to your phone. Normally velocity tracking devices costs several hundred dollars and are cumbersome to setup and use, not anymore! SmartBarbell uses your iPhone Camera to capture this valuable information and machine learning technology to analyze it. SmartBarbell is free for JuggernautAI users and just $4.99/month for non-JuggernautAI users. Pricing in USD for US based users, actual pricing may vary depending on location. The SmartBarbell App will give you powerful data about your lifting to help improve your training. -Measure and track bar velocity for Squat, Bench Press, Deadlift and Overhead Press variations. -Measure horizontal bar drift to help ensure better bar path. -Utilize velocity data to give a more objective measure of Rate of Perceived Exertion (RPE). -Enhance your training in the JuggernautAI App with more powerful data. SmartBarbell allows you to upload a video of your lifts and record them directly in the app, then it will quickly analyze your lift and provide you the important data to improve your training. ———- ABOUT JUGGERNAUT TRAINING SYSTEMS Juggernaut Training Systems is The Leader in Strength, having helped thousands of athletes from beginners to World Champions maximize their results and reach their goals. We deliver principle-based coaching through cutting-edge technology to help you get the best results of your life. Privacy Policy: https://www.jtsstrength.com/app-privacy-policy/ Terms of Use: https://www.jtsstrength.com/app-terms-of-use/

下载量预测

专业 · 预览

预估总下载量

6364671K
保守估计乐观估计

19

低 / 月

27

预估 / 月

42

高 / 月

基于7 条评分
假设评分率1.1%
应用年龄24 个月

基于评分数量 ÷ 类别评分率估算,实际下载量误差可达 ±50%,与 Sensor Tower 方法一致。