# common-sign-language-0002¶

## Use Case and High-Level Description¶

A human gesture recognition model for the Common-Sign-Language gesture recognition scenario. The model support 12 common single-hand gestures:

• Digits: 0, 1, 2, 3, 4, 5

• Sliding Two Fingers Up / Down / Left / Right

• Thumb Up / Down

The model uses an S3D framework with MobileNet V3 backbone and accepts a stack of frames (8 frames) sampled with a constant frame rate (15 FPS) and produces a prediction on the input clip.

## Specification¶

Metric

Value

Top-1 accuracy (continuous CSL)

98.00%

GFlops

4.2269

MParams

4.1128

Source framework

PyTorch*

## Inputs¶

Image sequence, name: input, shape: 1, 3, 8, 224, 224 in the format B, C, T, H, W, where:

• B - batch size

• C - number of channels

• T - duration of input clip

• H - image height

• W - image width

## Outputs¶

The model outputs a tensor with the shape 1, 12 in the format B, L, where:

• B - batch size

• L - logits vector for each performed CSL gestures

## Demo usage¶

The model can be used in the following demos provided by the Open Model Zoo to show its capabilities: