Open AccessElectronic Glove for Troops to Interpret Hand and Arm Gestures in Close Combat Scenario
Author(s) -
Vinod Kumar Pundir,
Rashmi P Mahajan,
Sheetal U. Bhandari
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d7460.049420
Subject(s) - gesture , computer science , bluetooth , table (database) , interpretation (philosophy) , wired glove , artificial intelligence , computer vision , speech recognition , telecommunications , wireless , data mining , programming language
In a close combat situation several types of non-verbal communication are available. However these signals have limits of range and reliability, particularly when line of sight is disrupted. This paper proposes the system for troops to interpret hand and arm military gestures applicable in close combat scenario. In the proposed system, signals are transmitted through secured Bluetooth connections and interpreted at the receiver end. k-NN algorithm, Lookup Table (LuT) and Decision Tree algorithm are used to determine the exact classification of the gestures. This paper presents a system keeping only one fellow trooper in picture and reported 94.6 percent accuracy of the military gestures interpretation.