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Sports / fitness (client anonymized)
A velocity-based-training wearable beyond the benchmark
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Challenge
A tiny, power-efficient wearable to measure velocity and movement for strength training, targeting higher accuracy than the established category device.
Approach
nRF52 + 6-DOF IMU with sensor fusion and movement classification, modeled in MATLAB then optimized in C++, streaming to a BLE app.
Result
A high-accuracy VBT wearable developed over an ~18-month program on the nRF52 platform.
Sector
Sports / fitness (client anonymized)
Tech Stack
- nRF52
- BLE
- 6-DOF IMU
- 4-layer 15 x 25 mm board
- MATLAB
- C++
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Proof
Related Projects
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