— CASE 05 / RESEARCH · IIT DELHI
AIR-WRITING
RECOGNITION.
A wearable air-writing system — 62 output classes from a single wrist-mounted IMU — and the discipline to evaluate it honestly.
62Output classes
12,400Labeled samples
1K+Configs swept
75/57User-dep / indep LOSO
— THE WORK
SWEEP
A THOUSAND
MODELS.
REPORT THE
HONEST DELTA.
ESP32 + MPU6050 wristband at 60 Hz over Wi-Fi (chose Wi-Fi over Bluetooth to escape Linux-only library lock-in). 20 participants × 62 classes × 10 repetitions = 12,400 labeled samples. Z-score normalized per channel.
Swept Dense / 1D-CNN / LSTM / BiLSTM / hybrids across 1,000+ configurations. Final: CNN-BiLSTM. Reported user-dependent and LOSO-CV user-independent numbers separately — the 18-point gap is the truth.
— GALLERY · HARDWARE & DEMOS13 ITEMS · 9 PHOTOS · 4 VIDEOS
TENSORFLOWKERASESP32MPU6050I²CWI-FICNN-BiLSTM
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