See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/350326965 Tongue Controlled Wheelchair and Switching of Electrical Appliances For Paralyzed Article in International Journal of Engineering and Management Research · April 2015 CITATIONS READS 0 51 1 author: Kalathiripi Rambabu BVRIT 27 PUBLICATIONS 94 CITATIONS SEE PROFILE All content following this page was uploaded by Kalathiripi Rambabu on 10 February 2023. The user has requested enhancement of the downloaded file. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 Volume-5, Issue-2, April-2015 International Journal of Engineering and Management Research Page Number: 456-459 Tongue Controlled Wheelchair and Switching of Electrical Appliances For Paralyzed B. Mallika1, K. Mounika2, M. Mounika3, V. Murali Krishna4, K. Rambabu5, M.C.Chinnaiah6 1,2,3,4,5,6 Department of ECE, BVRIT-Narsapur, INDIA ABSTRACT: Alternative and effective methods for controlling wheelchairs are important to individuals with tetraplegia and similar impairments who are unable to use the standard joystick. This project describes a system where tongue movements are used to control a wheelchair thus providing the users, with high level spinal cord injuries, full control of their wheelchair. The system is based on an inductive tongue control system. Tongue is used to operate the system because unlike the feet and the hands, which are connected by brain through spinal cord, the tongue and the brain has a direct connection through cranial nerve that generally escape damage in severe spinal cord injuries or neuromuscular disease. "Tongue movements are also fast, accurate and do not require much thinking, concentration or effort." Tongue Control System (TCS) is a tongue-operated assistive technology which can potentially provide people with several disabilities with effective access and environment control. It translates user’s intentions into control commands by detecting and classifying their voluntary tongue motion. In Tongue Control system, the motion of the tongue is traced by an array of Hall-effect magnetic sensors, which measure the magnetic field generated by a small permanent magnet that is contained within a nonmagnetic fixture and pierced on the tongue. The magnetic sensors are mounted on a dental retainer and attached on the outside of the teeth to measure the magnetic field from different angles and provide continuous real-time analog outputs for the controlling of wheelchair and electrical devices. Keywords----- Hall effect sensor, magnet, Arduino, voice module, Lab View I. INTRODUCTION Tongue Drive system (TDS) is a tongueoperated unobtrusive wireless assistive technology, which can potentially provide people with severe disabilities with effective computer access and environment control. It translates users’ intentions into control commands by detecting and classifying their voluntary tongue motion utilizing a small permanent 456 magnet, secured on the tongue, and an array of magnetic sensors mounted on a headset outside the mouth or an orthodontic brace inside. We have developed customized interface circuitry and implemented four control strategies to drive a powered wheel chair (PWC) using an external TDS prototype. The main aim of this project is to design and construct a tongue controlled wheel chair and device switching wirelessly using RF technology. This device is portable and this system operation is entirely driven by wireless technology. The user can control the wheelchair directions with the simple tongue movement and he can also request the basic needs like water, food or medicine using voice module. The control system consists of Hall Effect sensor and microcontroller. Microcontroller collects data from the sensor and transmits the encoded data through the RF transmitter. At receiver end RF receiver receives the data through the decoder and fed as input to the micro controller. The controller performs the corresponding actions i.e. Wheelchair movement. This Project consists of two Microcontroller Units, Wheelchair, relay, Hall Effect sensor and wireless communication through RF technology. Wheelchair is made up of high torque Geared DC Motors, the Motors directions can be changed through the set of instructions given from the Hall Effect sensor and the action of these instructions is already loaded into the Microcontroller using Embedded C programming. The RF receiver provides the information to the microcontroller (on board computer) from RF transmitter and the controller judges whether the instruction is right movement or left movement based on the tongue movement and controls the direction. This device is portable and this system operation is entirely driven by wireless technology. This project makes use of a Relay for switching the devices and APR-9600 voice chip for audio announcements, DC motors for Wheelchair movement, and Microcontroller, which is programmed, with the help of embedded C instructions. This microcontroller is capable of communicating with transmitter and receiver modules. The Hall Effect sensor detects the movement of the tongue and provides the information to the Copyright © 2011-15. Vandana Publications. All Rights Reserved. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 microcontroller (on board computer) and the controller judges whether the instruction is right movement or left movement instruction and controls the operation respectively. To perform the task, the Arduino is interfaced to sensors using LabVIEW. II. BLOCK DIAGRAM Transmitter Figure 3:LabVIEW for modesetup Figure 1: Transmitter Figure4: LabVIEW for switching III. Figure 2:Receiver 457 TECHNICAL REQUIREMENTS HALL EFFECT SENSORS The Hall effect is the production of a voltage difference (the Hall voltage) across an electrical conductor, transverse to an electric current in the conductor and a magnetic field perpendicular to the current. The Hall coefficient is defined as the ratio of the induced electric field to the product of the current density and the applied magnetic field. The Hall Effect comes about due to the nature of the current in a conductor. Current consists of the movement of many small charge carriers, typically electrons, holes, or both. Moving charges experience a force, called the Lorentz Force, when a magnetic field is present that is perpendicular to their motion. When such a magnetic field is absent, the charges follow an approximately straight, 'line of sight' path. However, when a perpendicular magnetic field is applied, their path is curved so that moving charges accumulate on one face of the material. This leaves equal and opposite charges exposed on the other face, where there is a scarcity of mobile charges. The result is an asymmetric distribution of charge density across the Hall element Copyright © 2011-15. Vandana Publications. All Rights Reserved. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 that is perpendicular to both the 'line of sight' path and the applied magnetic field. The separation of charge establishes an electric field that opposes the migration of further charge, so a steady electrical potential builds up for as long as the charge is flowing. Figure 6:Apr33a3 Voice Module Figure 5: Hall Effect Sensor SPECIFICATIONS • Zero Speed to 20 KHz • No Moving Sensor Parts • High Temperature Operation to 150°C • Robust • Thermally Stable • Compact • Lightweight • Custom Designs Available ARDUINO The Arduino Uno is a microcontroller board based on the ATmega328. It has 14 digital input/output pins, 6 analog inputs.It contains a 16 MHz ceramic resonator, a USB connection, a power jack and a reset button.ATmega 328 microcontroller is used as the hardware platform. It is the controlling unit, to which all other components (Accelerometers, Motors, RF modules etc.) are interfaced. Two such microcontrollers are used in this project, one at the Transmitting end and one at the Receiving end. The aPR33A series incorporates all the functionality required to perform demanding audio/voice applications. High quality audio/voice systems with lower bill-of-material costs can be implemented with the aPR33A series because of its integrated analog data converters and full suite of quality-enhancing features such as sample-rate converter. The aPR33A series C2.0 is specially designed for simple key trigger, user can record and playback the message averagely for 1, 2, 4 or 8 voice message(s) by switch, It is suitable in simple interface or need to limit the length of single message, e.g. toys, leave messages system, answering machine etc. Meanwhile, this mode provides the power-management system. Users can let the chip enter power-down mode when unused. It can effectively reduce electric current consuming to 15uA and increase the using time in any projects powered by batteries. IV. PROJECT FLOWCHART VOICE MODULE Today's consumers demand the best in audio/voice. They want crystal-clear sound wherever they are in whatever format they want to use. APLUS delivers the technology to enhance a listener's audio/voice experience. The aPR33A series are powerful audio processor along with high performance audio analogto-digital converters (ADCs) and digital-to-analog converters (DACs). The aPR33A series are a fully integrated solution offering high performance and unparalleled integration with analog input, digital processing and analog output functionality. 458 Copyright © 2011-15. Vandana Publications. All Rights Reserved. www.ijemr.net ISSN (ONLINE): 2250-0758, ISSN (PRINT): 2394-6962 transmits the encoded data through the RF transmitter. At receiver end RF receiver receives the data through the decoder and fed as input to the micro controller. The controller performs the corresponding actions for the wheel chair movement and the acknowledgement can be obtained through voices using voice module. REFERENCES V. CONCLUSION Integrating features of all the hardware components used have been developed in it. Presence of every module has been reasoned out and placed carefully, thus contributing to the best working of the unit. Secondly, using highly advanced IC’s with the help of growing technology, the project has been successfully implemented. Thus the project has been successfully designed and tested. Our project “Tongue Controlled Speaking Wheel chair” is mainly intended to design to a wheel chair which can be controlled by a movement of tongue, which is very useful for handicapped and paralyzed persons. The system consists of Hall Effect sensors and a wheel chair which is interfaced to the controller. Microcontroller collects data from the sensor and 459 View publication stats [1] R. G. Platts and M. H. Fraser, "Assistive technology in the rehabilitation of patients with high spinal cord lesions," Paraplegia, vol. 31, pp. 280-287, May. 1993. [2] H. V. Christensen and J. C. Garciab, "Infrared noncontact head sensor, for control of wheelchair movements," in Assistive Technology: From Virtuality to Reality, 2005, pp. 336-340. [3] Huo, X., Ghovanloo,M., "Evaluation of a wireless wearable tonguecomputer interface by individuals with high-level spinal cord injuries," Journal of Neural Engineering, vol. 7, 2010. [4] E. R. Lontis, Struijk, Lotte N. S. Andreasen, H. A. Caltenco, H. V. Christiensen , B. Bentsen and M. E. Lund, "Inductive pointing device for tongue control system for computers and assistive devices," in EMBC 2009. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009. [5] H. A. Caltenco, Struijk, Lotte N. S. Andreasen, E. R. Lontis, H. V. Christiensen , B. Bentsen and M. E. Lund, "Character activation time prediction model for tongue-typing: Adaptation of Fitts’s law," in EMBC 2009. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009. [6] Struijk, Lotte N. S. Andreasen, H. A. Caltenco, E. R. Lontis, H. V. Christiensen , B. Bentsen and M. E. Lund, "Fully integrated wireless inductive tongue computer interface for disabled people," in EMBC 2009. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2009. [7] MathWorks. Simulating fuzzy inference systems using the fuzzy inference engine. 2009(April). [8] H.Park and M.Govanloo, "An arch shaped intraoral tongue drive system with built-in tongue computer interfacing Soc," Sensors, Vol. 14, pp. 21565-21587, Nov.2014, doi: 10.3390/s141121565. [9] A. Ayalo Acevedo and M.Govanloo "Smart phone compatible robust classification algorithm for the tongue drive system", PROC. IEEE Biomedical circuits and systems Conf. Copyright © 2011-15. Vandana Publications. All Rights Reserved.
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