Electronic Glove for Troops to Interpret Hand and Arm Gestures in Close Combat Scenario
Vinod Kumar Pundir1, Rashmi P Mahajan2, Sheetal Bhandari3

1Vinod Pundir*, masters, Electronics and Telecommunication Engineering from Savitribai Phule Pune University, Pune
2Rashmi Mahajan, PhD, Kavayitri Bahinabai Chaudhari North Maharashtra University (KBCNMU), Jalgaon in Electronics Engineering.
3Dr. Sheetal Bhandari, PhD, Shivaji University, Kolhapur.

Manuscript received on March 30, 2020. | Revised Manuscript received on April 05, 2020. | Manuscript published on April 30, 2020. | PP: 1478-1484 | Volume-9 Issue-4, April 2020. | Retrieval Number: D7460049420/2020©BEIESP | DOI: 10.35940/ijeat.D7460.049420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Electronic glove, flex sensor, motion sensor, troopers, gestures classifier.