Abstract
The Smart Hiking Band is an intelligent wearable device designed to enhance the safety and well-being of hikers in remote and challenging environments. The system is developed using the ESP32, enabling real-time data processing and wireless communication.
The band integrates multiple sensors, including the MAX30100 SpO2 sensor to monitor heart rate and blood oxygen levels, and the MPU6050 accelerometer to detect falls and abnormal movements. A NEO-6M GPS module is used to track the real-time location of the hiker, ensuring accurate positioning in remote areas.
The collected data is displayed on an OLED display, allowing users to view their health status and movement information instantly. The system is powered by a rechargeable battery supported by a TP4056 charging module, making it portable and suitable for long-duration use.
For emergency situations, the system is integrated with the Blynk. A push-button SOS feature enables the user to send immediate alerts along with their live GPS location to predefined contacts.
Additionally, a simple Machine Learning (ML) approach is implemented to analyze sensor data such as heart rate, SpO2 levels, and motion patterns. Based on this analysis, the system classifies the user’s condition into Normal or Abnormal states. In case of abnormal conditions, alerts can be triggered to ensure timely assistance.
The Smart Hiking Band provides a compact, efficient, and reliable solution by combining health monitoring, fall detection, location tracking, and intelligent alert systems. This system significantly improves hiker safety by reducing risks and enabling quick emergency response in remote locations.
Introduction
Hiking and trekking are popular outdoor activities that provide adventure, fitness, and relaxation. However, these activities are often performed in remote and isolated areas where access to medical facilities and communication networks is limited. In such environments, unexpected situations such as health issues, accidental falls, or loss of direction can pose serious risks to hikers’ safety.
To address these challenges, the Smart Hiking Band is developed as an intelligent wearable device using the ESP32. This system enables real-time monitoring and wireless communication, making it suitable for safety-critical applications. The band is equipped with a MAX30100 SpO2 sensor to measure heart rate and blood oxygen levels, helping to assess the user’s health condition continuously. An MPU6050 accelerometer is used to detect falls and abnormal movements, while a NEO-6M GPS module provides real-time location tracking.
The system displays all essential information on an OLED display, allowing users to easily monitor their status. For remote connectivity and emergency communication, the device is integrated with the Blynk, which enables real-time data visualization and alert notifications. A push-button SOS feature is included to send immediate alerts along with the user’s location in case of emergencies.
In addition, a simple Machine Learning (ML) technique is implemented to analyze sensor data and classify the user’s condition as Normal or Abnormal. This intelligent feature helps in early detection of potential risks and ensures timely intervention.
Overall, the Smart Hiking Band offers a compact, reliable, and efficient solution for enhancing hiker safety by integrating health monitoring, motion detection, location tracking, and smart alert mechanisms.

Objectives
• To design a smart wearable safety device using ESP32
• To monitor heart rate and SpO2 using MAX30100 SpO2 sensor
• To detect falls and abnormal movements using MPU6050 accelerometer
• To track real-time location using NEO-6M GPS module
• To display readings on OLED display
• To send SOS alerts with location using Blynk
• To classify user condition as Normal or Abnormal using a simple ML approach