A Cost-effective Wearable & Mobile System Delivering Real-time Resistance-training Feedback Via Edge Cnns and Bluetooth Le
Year: 2025
Type: conference-paper
Abstract: Resistance-training adoption remains low because certified coaching is costly, and poor form risks injury. RepSync tackles this gap with a US$30 ESP32-based wearable and a cross-platform Flutter app. A 50 Hz wrist-IMU feeds 128-sample windows into an ondevice TorchScript CNN that classifies 18 lifts plus idle, while a finite-state machine counts reps and a rule-based engine scales sets using seven-day soreness and BMI. Key implementation challenges—BLE congestion and limited battery—were mitigated through Nordic-UART filtering, packet CRC, and adaptive connection intervals. In a crowded gym, the system achieved sub-200 ms end-to-end latency with
Authors: Juefei Wang, Andrew Park
Institution: California State Polytechnic University
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4414475994
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