In a world increasingly focused on health and fitness, the need for a tech-savvy companion that can accurately track and guide one is more vital than ever. One major part of this companion is the presence of a pose estimation algorithm for both tracking and guiding one in an activity. This should be seamlessly integrated with the health statistics of the user to create a holistic fitness experience for the user.
Users often struggle with exercise recognition and selection. Manual entry of exercises is error-prone and can disrupt the flow of a workout. Leveraging OpenCV and deep learning, this system offers automated exercise recognition. Users can seamlessly perform a variety of exercises, such as Bench press, Pushup, Bicep Curl, Lateral Raise, Shoulder Press, and Squat, without the need for manual input.
Inaccurate rep and set counting can hinder the effectiveness of workouts, leading to under-training or over-training. Using OpenCV, the system sets angle thresholds, enabling accurate counting of repetitions. It also tracks the number of sets completed, ensuring users follow their workout plans with precision.
Fitness enthusiasts often lack a centralized platform to comprehensively track and visualize their fitness progress over time. The system not only collects and stores critical user data, encompassing sets, reps, weight lifted, BMI, and heart rate, but it also incorporates a data analysis dashboard. This user-friendly dashboard allows individuals to monitor their progress, gain insights from the collected data, and identify areas for improvement.
Users need guidance on exercise selection and workout optimization. The system utilizes collected data to offer exercise recommendations tailored to users' fitness goals, helping them diversify their routines and achieve better results.
The system includes a valuable safety feature – a warning system. This system not only tracks your progress but also closely monitors your exercise form. If your form begins to deteriorate to a point that may risk injury or hinder the effectiveness of your workout, the warning system provides immediate alerts, helping you maintain a safe and efficient workout routine.
The system is integrated into a mobile app, offering real-time feedback and data accessibility across devices, potentially connecting with wearables.