Real time gesture recognition using continuous time recurrent neural networks
Gonzalo Bailador, Daniel Roggen, Gerhard Tröster, Gracián Triviño · 2007
This paper presents a new approach to the problem of gesture recognition in real time using inexpensive accelerometers. This approach is based on the idea of creating specialized signal predictors for each gesture class. These signal predictors forecast future acceleration values from current ones.