Catch Gesture: An Ultimate Action Recognition Technology Using IoT Device

Abstract

Nowadays, the internet of things (IoT) which connects the objects with the network is one of the most important technology. Everyone needs to access the IoT devices from anywhere. A challenge in our world is how to provide an efficient and automatic approach to control the IoT devices. In this paper, a system is proposed which provide a smart IoT controlling system, for getting efficient communication between the IoT devices and the users. An IoT device controller named as catch gesture contains three modules 1) object recognition module, 2) eye tracking module, and 3) gesture recognition module. The IoT device is identified by using some deep learning-based methods for getting accurate output and performance. Subsequently, the IoT device control command is generated and transmitted to the IoT devices to control the IoT devices by using hand gesture. The performance evaluation gives the efficiency and usefulness of the proposed system in detecting the IoT devices.