A preliminary study of IoT-device control using gestures recognition
Ayaka Hatori, Hiroyuki Kobayashi · 2017
So called “IoT devices”, which has embedded computer and internet connectivity, are widely spreading in these days. And user interface for such devices is very important issue to be discussed. One attractive solution is gesture control. It might be easy and intuitive to use. Therefore, many researchers have been proposing gesture recognition by using camera or data grove. However, these devices are inconvenient to carry nor to use in various places. Osne of the method to solve the problem is to use wearable devices for recognizing arm motion. Because, wearable devices commonly have an inertia sensor and can acquire the data of arm motions. So, in this research, the acceleration of gestures is used for getting arm motions. The recognition tool is SVM (Support Vector Machine) that is one of the machine learning models.