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Ultra-Compact Smart wearable for Real-Time Health & Activity Monitoring

PROUltra-Compact Smart wearable for Real-Time Health & Activity Monitoring

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Mode:OSHWLab Stars
OSHWLab Stars 2026
Reproduction cost: $200

License

MIT License

Reproduction is prohibited without the author's authorization
Creation time:2026-03-24 12:38:47Update time:2026-04-07 05:41:45

Description

Overview

This project involves the design and development of a high-performance, miniature wearable device (earable) tailored for continuous health tracking and motion analysis. Built around the ESP32-S3 SoC, the device integrates advanced heart rate sensing and inertial measurement units (IMU) into a highly constrained form factor, enabling seamless data synchronization with a mobile application for real-time health insights.

 

Technical Specifications

  • Core Processor: Powered by the ESP32-S3, leveraging its dual-core processing for simultaneous sensor fusion and wireless communication, with dedicated AI acceleration for on-edge activity classification.

  • Sensor Suite:  Heart Rate Monitoring: High-precision optical sensors for pulse oximetry and heart rate variability (HRV).

    • IMU (Inertial Measurement Unit): 6-axis motion tracking for step counting, posture detection, and activity recognition.

  • Power Management: * Battery: Optimized for 1S Lithium-Polymer (Li-Po) operation.

    • BMS: Integrated Battery Management System for over-voltage/under-voltage protection and efficient load balancing.

    • Charging: Unified USB Type-C interface for high-speed firmware programming and lithium battery recharging.

  • Connectivity: Dual-mode Bluetooth (BLE 5.0) and Wi-Fi for low-power data streaming to a dedicated mobile dashboard.

Key Design Highlights

  • Earable Form Factor: The PCB is engineered with a specialized footprint to fit within the ergonomic constraints of an ear-mounted enclosure, prioritizing user comfort and signal integrity.

  • Energy Efficiency: Implemented deep-sleep cycles and power-gating strategies to maximize battery life for long-term monitoring.

  • On-Edge Intelligence: Utilizes the ESP32-S3’s vector instructions to process IMU data locally, reducing latency and transmission power.


Potential Applications

Design Drawing

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Attachments

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ESP32_S3_EPIC_BLE.ino
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Epic_Main Body.step
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Intellectual Property Statement & Reproduction Instructions

This is an open-source hardware project. All intellectual property rights belong to the creator. The project is shared on the platform for learning, communication, and research only; any commercial use is prohibited. If your intellectual property rights are infringed on EasyEDA, please notify us by submitting relevant materials in accordance with the Rules for Complaints and Appeals of IPR Infringement.

Users must independently verify the circuit design and suitability when replicating this project. All risks and consequences are borne by the user, and the platform assumes no liability.

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