ABSTRACT
We present a design and functional prototype of a wearable technology for command and control of a remotely-operated ground vehicle used for intelligence, surveillance, and reconnaissance missions. A novel interface using hand motions, gestures, and a hands-free display allows the operator to control the robot using standard military hand and arm signals. We leverage existing lightweight wearable sensing and feedback mechanisms to allow soldiers the ability to maintain situational awareness while providing instructions to their robotic squad members. This paper presents recent test results of the system and its sensors using the proposed feedback and control mechanisms.
- https://www.myo.com/techspecs, March 2016.Google Scholar
- M. H. K. Ali, M. A. Azman, Z. H. Ismail, et al. Real-time hand gestures system for mobile robots control. Procedia Engineering, 41:798--804, 2012.Google ScholarCross Ref
- U. Army. Fm 21-60 visual signals. 1987.Google Scholar
- M. Bailey, S. Orzel, G. Hills, and K. Mosna. Portion of an expandable armband, Nov. 3 2015. US Patent D742,272.Google Scholar
- S. G. Hill, D. Barber, and A. W. Evans III. Achieving the vision of effective soldier-robot teaming: Recent work in multimodal communication. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts, pages 177--178. ACM, 2015. Google ScholarDigital Library
- H.-M. Huang. Autonomy levels for unmanned systems (alfus) framework: Safety and application issues. In Proceedings of the 2007 Workshop on Performance Metrics for Intelligent Systems, PerMIS '07, pages 48--53, New York, NY, USA, 2007. ACM. Google ScholarDigital Library
- iRobot Corporation. iRobot 510 PackBot, 2010.Google Scholar
- W. Ivanich and B. Xu. Systems and methods for hand gesture control of an electronic device, Apr. 23 2013. US Patent 8,428,368.Google Scholar
- I. Jang and W. Park. A gesture-based control for handheld devices using accelerometer. In Proceedings of the 9th Iberoamerican Congress on Pattern Recognition, volume 3287, pages 259--266, 2004.Google ScholarCross Ref
- P. Jia, H. H. Hu, T. Lu, and K. Yuan. Head gesture recognition for hands-free control of an intelligent wheelchair. Industrial Robot: An International Journal, 34(1):60--68, 2007.Google ScholarCross Ref
- C. Korpela, K. Chaney, and P. Brahmbhatt. Applied robotics for installation and base operations for industrial hygiene. In Technologies for Practical Robot Applications (TePRA), 2015 IEEE International Conference on, pages 1--6. IEEE, 2015.Google ScholarCross Ref
- M. Nam, M. U. Ahmed, Y. Shen, and P. K. Rhee. Mouth tracking for hands-free robot control systems. International Journal of Control, Automation and Systems, 12(3):628--636, 2014.Google ScholarCross Ref
- D. of Defense. The unmanned systems integrated roadmap fy 2011-2036. 2011.Google Scholar
- B. Park, S. Song, J. Kim, and W. P. H. Jang. User customization methods based on mental models: modular ui optimized for customizing in handheld device. Human-Computer Interaction. Interaction Platforms and Techniques, pages 445--451, 2007. Google ScholarDigital Library
- Recon Robotics. ThrowBot XT with Audio, 2016.Google Scholar
- M. Sathiyanarayanan and S. Rajan. Myo armband for physiotherapy healthcare: A case study using gesture recognition application. In Communication Systems and Networks (COMSNETS), 2016 8th International Conference on, pages 1--6. IEEE, 2016.Google ScholarCross Ref
- W. Shontz and G. Trumm. Perceptual processes and current helmet-mounted display concepts. Minneapolis, Minnesota: Honeywell Inc. Technical Note TN-1, 1969.Google Scholar
- E. Svensson, M. Angelborg-Thanderez, L. Sjöberg, and S. Olsson. Information complexity-mental workload and performance in combat aircraft. Ergonomics, 40(3):362--380, 1997.Google ScholarCross Ref
- Tal Oron-Gilad. Interfaces for Ground and Air Military Robots: Workshop Summary. National Academies Press, 2005.Google Scholar
Index Terms
- Wearable Technologies for Enhanced Soldier Situational Awareness
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