Authors:
S. Manivannan, P. Selvabharathi, P. Karuppusamy, K. Rajalashmi
Addresses:
Department of Electrical and Electronics Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, Tamil Nadu, India. Department of Electrical and Electronics Engineering, Erode Sengunthar Engineering College, Perundurai, Erode, Tamil Nadu, India. Department of Electrical and Electronics Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, Tamil Nadu, India.
Abstract:
This paper introduces a smart cycling system that adjusts the level of assistance provided to the rider based on their heart rate. The goal is to create a bike that supports you when your body needs it most — whether you’re climbing a hill or just feeling tired during a long ride. At the heart of the System is the ESP32 microcontroller, which acts as the brain of the setup. It constantly reads the rider’s heart rate using a sensor. Based on the heart rate, the ESP32 controls a hub motor to provide one of three levels of assistance. For example, when your heart rate is low, the bike gives minimal help, encouraging you to pedal more. But as your heart rate climbs, the motor gradually increases its support to reduce strain and fatigue. To make the experience smoother and safer, a braking system is also included. When the brakes are pressed, the motor power is gently reduced instead of being cut off suddenly, resulting in a more comfortable stop. In short, this paper combines real-time heart monitoring with smart motor control to make cycling more intuitive, responsive, and rider-friendly — perfect for daily rides, training, or recovery.
Keywords: Pedal Assist; Heart Rate Sensor; LED Display; Brushless DC Motor; Adaptive Pedal Support System; Global Positioning System; Electric Assistance; Electric Mobility; Smart Motor Control.
Received: 10/07/2024, Revised: 25/10/2024, Accepted: 30/11/2024, Published: 03/03/2025
DOI: 10.64091/ATIHL.2025.000118
AVE Trends in Intelligent Health Letters, 2025 Vol. 2 No. 1 , Pages: 30-39