Gesture Recognition Based Smart Home Control System

Abstract

This paper is based on gesture recognition. It aims to transform gesture signal into electronic communication with home facilities. The main procedure consists of following steps: First, Curie chip collects the command gesture. Then, the gesture will be translating into accelerometer and gyroscope information. The Curie chip will integrate them into a motion vector and transport them to the k-means neural network as training. After training, each gesture represents a command attached to a facility control, and gesture control is revealed for smart home. Additionally, the whole system can be integrated as a wearable device, which relives complex button controller and improve portability. In brief, the research aims to replace remote controller and create a more convenient and pleasant living environment for users.