A 7.2 MB branched DNN, fed with MediaPipe landmarks encoded as 947 ASL parameter features, classifies 343 isolated American Sign Language signs with 92% video-level accuracy and sub-10 ms latency on edge devices.
Sing Language Recognition - ASL Recognition with MediaPipe and Recurrent Neural Networks
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Developing Lightweight DNN Models With Limited Data For Real-Time Sign Language Recognition
A 7.2 MB branched DNN, fed with MediaPipe landmarks encoded as 947 ASL parameter features, classifies 343 isolated American Sign Language signs with 92% video-level accuracy and sub-10 ms latency on edge devices.