• C. Santhanakrishnan, Thejeshwar ReddyYerasi, Sharad Kumar Singh


In this world of abundant intelligent devices, with an aim to help the disabled, elderly and children communicate with the devices directly through gestures instead of the conventional switchboards we propose a system to make human hand tracking and controlling the household appliances possible in real time with minimal latency. The automated system developed until now was limited in the gestures made, not much supportive of the gestures made by the individual fingers and also slow in recognizing and computing the input parameters. We propose a method to solve these issues by using the LEAP motion sensor where we can input customized gestures via our fingers and increase the range of gestures made by the person. We also strive to increase the throughput of the system and provide high-performance in terms of recognition accuracy. Till now LEAP sensor was used in the field of virtual reality, augmented reality. In recent times LEAP sensors started to appear in Automation as it has some benefits over other sensors like KINECT, ACCELEROMETER, and GYROSCOPE which have limited gestures, high cost, slow computational speed, less accuracy, etc. A LEAP sensor has two cameras and three IR sensors with inbuilt support for four gestures such as circle, swipe, key tap, screen tap. Our objective is to include a customized gesture data set for LEAP and set the commands to control daily household devices. LEAP comes with a 150-degree field of view which helps for multiple gesture recognition. The amalgamation of LEAP technology with IoT devices can provide disabled people with a sense of autonomy.

How to Cite
C. Santhanakrishnan, Thejeshwar ReddyYerasi, Sharad Kumar Singh. (2020). HAND GESTURE BASED HOME AUTOMATION USING LEAP MOTION SENSOR. International Journal of Advanced Science and Technology, 29(6s), 1926 - 1931. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/9360