IoT Empowered Gesture Recognition System for Life Style Enhancement of Differently Abled People

Abstract

Gesture recognition could be effectively used in most instruments targeting the life support of differently abled people. Therefore, an enhanced development was carried out targeting the miscellaneous requirements of the said kind of people. The Kinect capturing device was used to extract the 3-D information and processing could be carried out using a single board PC and the low power blue tooth module was used to get the connectivity between external devices enabling IoT features of the system. Different gestures were carefully identified and unique command set was generated covering each gesture identified. Once the system is configured identifying the relevant conditions of a particular person's hearing conditions, it could be used to address his different hearing requirements.