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Overview of ST multi-zone Time-of-Flight sensors hand posture recognition STM32 model zoo

The STM32 model zoo includes several models for hand posture recognition use cases pre-trained on custom datasets. Under each model directory, you can find the following model categories:

  • ST_pretrainedmodel_custom_dataset contains different hand posture models trained on ST custom datasets using our training scripts.

Hand posture recognition models

The table below summarizes the performance of the models, as well as their memory footprints generated using STM32Cube.AI for deployment purposes.

By default, the results are provided for float models.

Models Implementation Dataset Input Resolution Top 1 Accuracy (%) MACCs (M) Activation RAM (KiB) Weights Flash (KiB) STM32Cube.AI version Source
CNN2D_ST_HandPosture VL53L8CX 8 postures TensorFlow ST_VL53L8CX_handposture_dataset 8x8x2 98.69% 0.009 1.0 10.75 7.3.0 link
CNN2D_ST_HandPosture VL53L5CX 8 postures TensorFlow ST_VL53L5CX_handposture_dataset 8x8x2 96.42% 0.009 1.0 10.75 7.3.0 link