Pre-classification based hidden Markov model for quick and accurate gesture recognition using a finger-worn device

Hidden Markov Model (HMM)-based recognition methods are very commonly used for some applications and can be highly accurate. However, they have a high computational complexity that creates problems when they are used for gesture recognition on resource-constrained wearable devices. In this paper, we...

Ausführliche Beschreibung