Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware. (arXiv:2207.12559v2 [cs.LG] UPDATED)

In this paper, we develop four spiking neural network (SNN) models for two
static American Sign Language (ASL) hand gesture classification tasks, i.e.,
the ASL Alphabet and ASL Digits. The SNN models are deployed on Intel's
neuromorphic platform, Loihi, and then compared against equivalent deep neural
network (DNN) models deployed on an edge computing device, the Intel Neural
Compute Stick 2 (NCS2). We perform a comprehensive comparison between the two
systems in terms of accuracy, latency, power consumption, and energy. …

arxiv gesture recognition hardware language neuromorphic