Abstract
The paper is devoted to the problem of counting repetitions and automatic weight stack detection in a weightlifting machine used for weight training. Some weightlifting machines include a weight stack that can be adjusted by a user. For example, the user can choose to increase or reduce the weight load using the weight stack, thus changing the difficulty level of a particular exercise. Users may want to perform a desired number of repetitions of an exercise or to perform an exercise with a desired range of motion when using such weightlifting machines. From a medical point of view, it is often required that an exact number of repetitions of a given load are performed in order to aid in a prompt recovery. This paper describes a complete design of the system and the algorithm that allows one to collect data from such a machine. Data can then be used for various purposes: in overviews and statistical analysis of a number of workouts. The approach presented in this paper is part of an application for European patent number 18461537.5-1126.
Highlights
There are many devices on the market that allow one to, e.g., count the number of steps taken during a day or measure the heart rate while running
These are wirelessly connected to mobile devices such as a smartphone, a smart armband, or a smartwatch [3]
For specific weight stack machines, the distances among groups of sensors can differ, for example, in the case when a given exercise requires lifting a set of weight plates to a predefined initial level and continuing with the exercise with the weights there
Summary
The amount of reference light received by the active- or static-stack light receivers is to be used by an analyzer in order to output information regarding various features of the exercise being performed, such as the range of motion, the total amount of weights lifted, and the number of repetitions. The drawback of this solution is that due to the fact that the distance measurements have to be very precise (especially in the case of the static stack), the system requires very precise sensors. A physician or a physiotherapist prescribing a training regimen for their patient can monitor the progress (by, e.g., logging into a cloud service) of the patient and see whether the exercises were executed with the prescribed number of repetitions and with correct weights
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