Supporting data for “User-Centered Development and Validation of a Wearable Feedback System for Enhanced Fitness Training”

<b>Research Project Overview:</b>The research project focuses on the user-centered development and validation of a wearable feedback system designed to enhance fitness training. The system leverages Inertial Measurement Units (IMUs) to provide real-time feedback to users, guiding them to perform resistance training exercises (specifically squats and deadlifts exercises) at a constant speed and within a prescribed range of motion. The study aims to evaluate the effectiveness of this wearable feedback system by analyzing its impact on movement quality, muscle activation, and user motivation.<b>2. Sample Size and Target Participants:</b>Total Participants: 51 (28 males, 23 females).Age Range: 19–67 years (median age: 25 years).Target Participants: Individuals with varying levels of fitness experience, ranging from beginners to advanced trainees, to ensure the system's applicability across a broad user base.<b>3. Description of Data Files:</b>The dataset consists of the following types of data files, collected during supervised exercise sessions(1) IMU Data Files:Content: Time-series data from IMU sensors, including acceleration, angular velocity, and orientation of leg and trunk posision during squats and deadlfits exercises.Purpose: To analyze movement kinematics, including speed, range of motion, and stability.File Format: CSV, with columns for timestamp, sensor ID, and sensor measurements.(2) EMG Data Files:Content: Electromyography signals from lower back and limb muscles (e.g., quadriceps, glutes) recorded during exercises.Purpose: To assess muscle activation patterns and compare amplitude changes with and without the wearable feedback system.File Format: CSV or similar, with columns for timestamp, muscle group, and EMG signal amplitude.<br>(3) Voice Data Files:Content: Audio recordings of participants' verbal feedback, interactions with researchers, and comments after exercises.Purpose: To gather qualitative insights into user experience and perceived usability of the system.File Format: Audio files (e.g., WAV or MP3).<br>