Development of Smart Home Using Gesture Recognition for Elderly and Disabled

Abstract

Smart home has gained popularity not only as a luxury but also due to the numerous advantages. It is especially useful for senior citizens and children with disabilities. In this work, home automation is achieved using gesture for controlling appliances. Gesture recognition is an area in which lot of research and innovations are blooming. This paper discusses the development of a wearable device which captures hand gestures. The wearable device uses accelerometer and gyroscopes to sense and capture tilting, rotation and acceleration of the hand movement. Four different hand gestures are captured using this wearable device and machine learning algorithm namely Support Vector Machine has been used for classification of gestures to control ON/OFF of appliances.

An overview of gesture recognition

“…Gesture recognition is one of the most important aspects of gesture interaction. Gesture recognition can be widely used in smart cars 5 , smart homes 6 , virtual reality 7 , accessibility services 8 , etc. The following list sets several representative gesture recognition applications.…”

A Novel Detection and Recognition Method for Continuous Hand Gesture Using FMCW Radar

“…As an important branch, hand gesture recognition [2] is of great significance for promoting the development of HCI. Meanwhile, the development of hand gesture recognition also promotes the progress of many fields, such as smart home [3], industrial internet of things [4][5][6], sign language interaction [7], radio frequency identification [8,9], etc. As a result, hand gesture recognition has become a research hotspot recently [9][10][11][12][13].…”

Hand Posture Recognition Using Skeletal Data and Distance Descriptor

“…The overall goal is to understand the body language and then create more functional and efficient human-computer interfaces. Application areas are vast; from driver support via hand-controlled cockpit elements [2], through to home automation with consumer electronics driven by gestures [3], gaming industry applications [4], interaction with virtual objects [5], and finally, technological support for people with disabilities [6]. Solutions available on the market are either limited, very simple, or have background and illumination requirements that are difficult to meet in real-life scenarios.…”