Abstract
In this proposed method, a voice-controlled mechanized wheelchair with constant impediment shirking is structured and actualized. It engages a weakened individual to move around uninhibitedly, using a voice affirmation application, which is interfaced with motors. The model of the wheelchair is amassed using a littler scope controller, picked for its insignificant exertion, despite its versatility and execution in logical assignments and correspondence with other electronic contraptions. The framework has been planned and executed in a savvy way. In this chapter, there are three sensors that measure the value from patient’s body. Then these measured values are analyzed and displayed on liquid crystal display (LCD). Respiration sensor monitors chest or abdomen movement during breathing. Heartbeat sensor senses patient heartbeat rate every minute. The LM35 series are precision-integrated circuit temperature sensors, with a yield voltage straightly proportional to the centigrade temperature. The LM35 has a favored situation over direct temperature sensors adjusted in ° Kelvin, thusly the customer is not required to remove a colossal consistent voltage from the respect procure invaluable Centigrade scaling. To give normal exactnesses of ±¼° C at room, LM35 does not require any external change or slicing.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
K. Stanton, P. R. Sherman, M. L. Rohwedder, C. P. Fleskes, D. R. Gray, D. T. Minh, C. Espinoza, D. Mayui, M. Ishaque, M. Perkowski, PSUBOT-a voice-controlled wheelchair for the handicapped. Proceedings of the 33rd Midwest Symposium on Circuits and Systems, vol. 2 (1990), pp. 669–672.
B. Arun Pradeep et al., Automatic battery replacement of robot. Adv. Nat. Appl. Sci. 9(7), 33–38 (June 2015)
T. Kanagaraj et al., Foot pressure measurement by using ATMEGA 164 microcontroller. Adv. Nat. Appl. Sci. 10(13), 224–228 (September 2016)
K. Srihari et al., An enhanced face and Iris recognition based new generation security system, in Computing, Communications, and Cyber-Security, Lecture Notes in Networks and Systems (LNNS) Series, vol. 121, issue 1 (Springer, Singapore, May 2020), pp. 845–855
T. Debnath, A.F.M. Abadin, M.A. Hossain, Android controlled smart wheelchair for disabilities. Global J. Comp. Sci. Technol.: G Interdisciplinary. 18, 9–12 (2018)
Y. Rabhi et al., Intelligent control wheelchair using a new visual joystick. J. Healthc. Eng. 2018(3), 1–20 (2018)
R. Subha et al., Coma patient health monitoring system using IOT. 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), 2020
K. Srihari et al., Automatic battery replacement of robot. Adv. Nat. Appl. Sci. 9(7), 33–38 (June 2015)
P. Vetrivelan et al., Design of smart surveillance security system based on wireless sensor network. Int. J. Res. Stud. Sci. Eng. Technol. 4(5), 23–26 (August 2017)
N. Prakash et al, Arduino based traffic congestion control with automatic signal clearance for emergency vehicles and stolen vehicle detection. Proceedings of IEEE International Conference on Computing, Communication and Informatics (ICCCI-2020), Coimbatore, 2020, pp. 1–6
K. Srihari et al., Implementation of Alexa based intelligent voice response system for smart campus, in Innovations in Electrical and Electronics Engineering, Lecture Notes in Electrical Engineering (LNEE) Series, vol. 626, issue 1 (Springer, Singapore, March 2020), pp. 849–855
R.-X. Chen et al., System design consideration for digital wheelchair controller. IEEE Trans. Ind. Electron. 47(4), 898–907 (2000)
S. Santhi et al., SoS emergency ad-hoc wireless network, in Computational Intelligence and Sustainable Systems (CISS), EAI/Springer Innovations in Communications and Computing, (Springer, Cham, 2019), pp. 227–234
P. Vetrivelan et al., A NN based automatic crop monitoring based robot for agriculture, in The IoT and the Next Revolutions Automating the World, (IGI Global, Hershey, 2019), pp. 203–212
K. Srihari et al., A smart industrial pollution detection and monitoring using internet of things (IoT), in Futuristic Trends in Network and Communication Technologies, Communication in Computer and Information Science (CCIS) Series, vol. 1206, issue 1, (Springer, Singapore, April 2020), pp. 233–242
N. Prakash, E. Udayakumar, N. Kumareshan, R. Gowrishankar, GSM-based design and implementation of women safety device using internet of things, in Intelligence in Big Data Technologies-Beyond the Hype, Advances in Intelligent Systems and Computing, ed. by J. Peter, S. Fernandes, A. Alavi, vol. 1167, (Springer, Singapore, 2020)
H.R. Singh et al., Design & develop of voice/joystick operated microcontroller based intelligent motorised wheelchair. IEEE Tencon 2, 1573–1576 (1999)
T. Kanagaraj et al., Control of home appliances and projector by smart application using SEAP protocol, in Intelligence in Big Data Technologies-beyond the Hype, Advances in Intelligent Systems and Computing (AISC) Series, vol. 1119, issue 1, (Springer, Singapore, March 2020), pp. 603–610
A.R. Trivedi et al., Design and implementation of a smart wheelchair. Proceedings of Conference on Advances in Robotics July 2013, pp. 1–6
K. Srihari et al., A smart industrial pollution detection and monitoring using internet of things (IoT), in Futuristic Trends in Network and Communication Technologies, Communication in Computer and Information Science (CCIS) Series, vol. 1206, issue 1 (Springer, Singapore, 2020), pp. 233–242
S. Tamilselvan et al., Development of artificial intelligence based assessment writing robot for disable people. International Conference on Smart Structures and Systems (ICSSS), India, pp. 1–6 (2020)
T. Dharanikaand et al., Intelligent wheel chair for disabled person. Int. J. Innov. Res. Sci. Technol. 3(01), 257–261 (June 2016)
N. Prakashand et al., Design and development of android based plant disease detection using Arduino. 2020 International Conference on Smart Structures and Systems (ICSSS), Chennai, India, 2020, pp. 1–6
R.S. Sharma et al., Smart wheelchair for physically handicapped persons. Int. Res. J. Eng. Technol. 05(05), 542–547 (May 2018)
T. Gomi, A. Griffith, Developing intelligent wheelchairs for the handicapped, in Assistive Technology and Artificial Intelligence, Lecture Notes in Computer Science, ed. by V. O. Mittal, H. A. Yanco, J. Aronis, R. Simpson, vol. 1458, (Springer, Berlin, Heidelberg, 1998)
M.R.M. Tomari et al., “Development of smart wheelchair system for a user with severe motor impairment”, international symposium on robotics and intelligent sensors 2012. Procedia Eng. 41, 538–546 (2012)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Prakash, N., Udayakumar, E., Kumareshan, N. (2022). Implementation of Smart Control of Wheelchair for a Disabled Person. In: Nandan Mohanty, S., Chatterjee, J.M., Satpathy, S. (eds) Internet of Things and Its Applications. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-77528-5_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-77528-5_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77527-8
Online ISBN: 978-3-030-77528-5
eBook Packages: EngineeringEngineering (R0)