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

Legal Information

[*] Other names and brands may be claimed as the property of others.