It is hard to overestimate the importance of logging your workout. And if you don't believe me, here are some links:
You can dramatically increase your long-term gym results if you record all exercises, during every workout, and assess this information from time to time.
There are currently some options for recording your exercises:
Obsolete - paper and pencil
Modern way - app in your smartphone
The most modern way - using your smartwatch as an additional device for logging
All these approaches will accomplish this goal, but they also have some disadvantages :
We now live in a wonderful world full of smart devices, and have an opportunity to log our fitness activity almost effortlessly. It works well enough for walking, running, cycling and even swimming; but what about the gym, crossfit, and bodyweight workouts? Currently there is no an app or service which records your gym activity, which is why we decided to create "smart workout log" - an app that automatically logs all exercises that you perform during a workout, along with the amount of repetitions.
Obvious advantages of this approach:
Additionally, we are going to create an API which will be able to recognize exercises and repetitions, and will include the ability to connect with any existing workout logging app. So, maybe your favorite logging app will get this awesome functionality too.
There is only one disadvantage (but we should admit it is rather annoying):
Every wearable smart device has an accelerometer, some of them additionally have a gyroscope. People usually wear these devices on their wrist, and the arms almost always are involved in gym activities.
Furthermore, the same exercises tend to have the same motion patterns, especially for the same person. Thus, using data from these sensors, we can recognize exercises, and the number of reps performed. Recognition will be done using neural network technology, which is common today and yields amazing results.
We are going to support different device positions:
And different device sensor types:
The accuracy of recognition will depend on the combination of these options, but the main variant will be the "smartwatch on wrist" combination.
Good question, and one which we ask ourselves every day :). There have been a few trials, which
had very good results. For example, the accuracy of recognition when a device was on the wrist
was about 95 percent, and on both the wrist and the ankle - about 99 percent. There are some
We are sure that a similar service has not yet entered the market (at least not one that is well known). If you know about a similar product or startup, please share this information in the comments. If somebody else is working on this idea for commercial use, it will be very interesting and helpful.
My name is Yaroslav, I am the creator of the TrainMeUp! concept.
(I am on the left)
My experience in software development is about 8 years. Furthermore, my experience in gym training is about 12 years (I am sure this will be at least a little helpful for completing this project)
We need help from the fitness community to find out if this is idea useful for anybody. We crave
to hear your advice and feedback, and we will need volunteers to collect initial exercise data
of different types. So, if you like this idea and the opportunities that will emerge with it,
please, subscribe to our mailing list and follow us on social media. Feel free to share your
opinion and thoughts about this idea in the comments, this will be very helpful. And please,
share this information with your fitness buddies, this will help us a lot.
We will have the next update very soon, we promise :)
Or send us an email!