Abstract
Hand gesture recognition is one of the significant research domains in the computer science field to which people have paid attention in the past decade. It has been considered as a highly successful technology, where it saves time to unlock any device and provide high stability with an increased accuracy rate. It provides a simple interface for humans to communicate with machines. This paper describes an external hardware-independent system which can control electrical appliances using hand gesture and voice control. We will be using a subpart of this field which is measuring the distance of relative hand movement with respect to the sensors used. The system uses a distance-measuring technique to provide certain functionalities to external hardware. The relative hand movement is recognized using ultrasonic sensors and voice pattern is recognized using analog to digital converter. The hardware part of the ultrasonic sensor is interfaced with Arduino. After getting the sound speed (sonic speed) and time between emission and reception, the distance can be calculated and provide necessary functionalities. In Voice Control Google Speech Recognition is used to convert speech to text and provide the desired functionalities. The workflow of the entire system is controlled using Arduino and Python code.
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Conic, N., Cerseato, P., De Natale, F.G.B.: Natural human machine interface using an interactive virtual blackboard. In: Proceedings of ICIP 2007, pp.181–184 (2007)
Pang, Y.Y., Ismail, N.A., Gilbert, P.L.S.: A real time vision-based hand gesture interaction. In: Fourth Asia International Conference on Mathematical Analytical Modelling and Computer Simulation, pp. 237–242 (2010)
Schellingerhout, R., Smitsman, A.W., Cox, R.F.A.: Evolving patterns of haptic exploration in visually impaired infants. Infant Behav. Dev. 28, 360–388 (2005)
Marcel, S., Bernier, O., Viallet, J.E., Collobert, D.: Hand gesture recognition using input output hidden markov models. In: Proceedings of the FG’2000 Conference on Automatic Face and Gesture Recognition (2000)
Wu, X., Yang, C., Wang, Y., Li, H., Xu, S.: An intelligent interactive system based on hand gesture recognition algorithm and kinect. IEEE (2012)
Wachs, J.P., Kolsch, M., Stern, H., Edan, Y.: Vision-based hand-gesture applications. Commun. ACM 54, 60–71 (2011)
https://www.electronicshub.org/voice-activated-home-automation/
Rehman, A., Arif, R., Khursheed, H.: Voice controlled home automation system for the elderly or disabled people. J. Appl. Environ. Biol. Sci. 4, 55–64 (2014)
Khan, I., Arif, M., Khalid, M.F., Ali, R., Khan, Q., Ahmad, S.: Voice controlled home automation system. Int. J. Res. Comput. Commun. Technol. 6, 148–154 (2017)
Jain, G.: Vision-based hand gesture pose estimation for mobile devices. University of Toronto (2009)
Moeslund, T.B., Norgaard, L.: A brief overview of hand gestures used in wearable human-computer interfaces. Technical report, Aalborg University, Denmark (2002)
Maheswari, R., Rani, S.S., Sharmila, P., Rajarao, S.: Personalized secured apı for application developer. In: Smart Innovations in communications and Computational Sciences. Advances in Intelligent Systems and Computing, vol.851, pp. 401–412. Springer (2018)
Rautaray, S.S., Agrawal, A.: A novel human computer ınterface based on hand gesture recognition using computer vision techniques. In: Proceedings of ACM IITM 2010, pp. 292–296 (2010)
https://www.hackerearth.com/blog/developers/a-tour-of-the-arduino-uno-board
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Sanket, S., Thakor, J., Kapoor, P., Pande, K., Shrivastav, S.V., Maheswari, R. (2020). Relative Hand Movement and Voice Control Based Home Automation and PC. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_26
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DOI: https://doi.org/10.1007/978-3-030-33846-6_26
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