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KNU PROJECT GROUP

KNU PROJECT GROUP

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saME

Our Product

  • This is a workout assisting device designed to be attached to a barbell.
  • It provides a dedicated application that connects to the device.
  • This device is created for beginners in fitness who lack confidence and individuals concerned about injuries.
  • Even experienced users can receive objective data by analyzing their exercise patterns and use it to improve themselves.
Real-time feedback
If the device loses balance during exercise, it vibrates to provide immediate feedback,
signaling the tilt direction to the user's hand
Mechanism
STEPS tracks the user's workout in real-time, using sensors to constantly assess if the user maintains balance. It particularly monitors the angle between the barbell and the ground,activating the vibration motor if this angle exceeds a certain threshold. The motor continues until the angle returns within the threshold.
Training volume
Recommendatoin
Detects (training) patterns and range of motion using sensors.
Based on this data, STEPS recommends proper weights, sets and reps to prevent a risk of injury.
Mechanism
Utilizing a variety of embedded sensors, STEPS detects multiple aspects of the user's workout, including exercise speed, distance, and vibrations. It processes this information through mathematical methods and analyzes the trends to assess the user's workout. The data analysis particularly focuses on preventing potential injuries. Thanks to this process, STEPS can provide users with tailored training volume recommendations.
Exercise Tracking
Feature
Automatically measures and displays the number of reps per set post-exercise on your phone.
Mechanism
STEPS detects and records the user's workout progress, capturing exercise patterns and analyzing data to track the number of reps performed. The detected reps are automatically transmitted to a dedicated mobile application for seamless recording, enabling users to monitor their exercise count in real-time.
Exercise Evaluation
Feature
Compiles all records and information to evaluate your workout and recommend the next exercise.
Mechanism
STEPS categorizes and analyzes all data collected during workouts. It assesses each exercise based on this information and the user's data trends. Using this evaluation, STEPS calculates the appropriate exercise intensity for the user's future workouts, considering the user's preferences, exercise physiology, and personal information. These derived outcomes are then transmitted to the app for user access.