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I will develop multi imu wearable pcb with ble, sensor fusion and motion tracking
About this Gig
Hello and Welcome!!
Are you building a wearable motion tracking system using multiple IMU sensors? I will help you design and develop a multi-IMU wearable PCB system with BLE connectivity, reliable sensor fusion, and motion tracking architecture optimized for MVP prototypes or scalable product development.
What I Offer:
- Multi-IMU hardware architecture design
- Custom wearable PCB design (compact & low power)
- BLE wireless communication setup
- Sensor fusion implementation (Madgwick / Mahony / Kalman)
- Motion tracking & orientation estimation
- Data logging & synchronization strategy
- Firmware development (ESP32 / nRF / similar platforms)
- Raspberry Pi or SBC integration
Why Work With Me?
- Experienced in wearable PCB & embedded systems
- Strong understanding of low-power design
- Clean, scalable architecture planning
- Focused on functional MVPs and production-ready systems
- Clear documentation and engineering support
Whether you need a proof-of-concept prototype or a scalable multi-sensor system, I can help you build a reliable and cost-effective solution.
Contact me before ordering so we can define the best architecture for your project!!!
Other Electronics Engineering Services I Offer
FAQ
What IMU sensors do you typically use?
I recommend low-power 9-axis IMUs like BNO08x or ICM-20948 depending on cost, stability, and fusion requirements.
Can the system scale beyond 9 IMUs?
Yes. The architecture can be designed to scale to 12–15 IMUs without major redesign.
Do you provide firmware development?
Yes. I develop BLE communication firmware and implement sensor fusion algorithms.
Do you assemble and ship prototypes?
Assembly and shipping can be arranged separately. Contact me before ordering.
Is real-time tracking supported?
Yes, but offline reconstruction is recommended for MVP stability and accuracy.
Can you use off-the-shelf development boards?
Yes. For low-cost MVPs, I can design the system around dev boards to reduce hardware cost.
