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Int. J. Elec&Electr.Eng&Telecoms. 2015 Nikhil K and Rathnakara S, 2015

ROBOT FOR BIO - MEDICAL APPLICATIONSCONTROLLED BY REGIONAL LANGUAGE

Nikhil K1* and Rathnakara S2

*Corresponding Author: Nikhil K,nikhilkit35@gmail.com

This paper proposes an application of speech recognition in which a robotic module is controlledby speech technology. Here we make use of a Regional language to control the robotic module.Any Regional language can be adapted based on the region where the robotic module is beingused. We are adapting languages like Kannada and Hindi as they are the prominent languagesused in the region of Karnataka, India. We make use of Speech as it is significant and primarilya convenient mode of communication with the Robotic module and also with fellow humans.The Robotic module is specifically designed to serve in Medical field. As it can be a replacementfor paramedical staffs and can monitor and can act according to the commands of doctors. Auser interface is designed to communicate with the robotic module, speech recognition plays avital role in the usage of any technology, as it renders the magnanimous task of usage morefriendly.

Keywords: Speech recognition, Regional language, Bio-medical application, Robotic module,Zigbee serial wireless communication

INTRODUCTIONMedical fraternity requires a lot of assistancein the work environment, as activities andchores of service to handle the cases ofpeople is vital. A simple task of picking up ascissor in an act of surgery is significant to adoctor, needless to say the paramedical staffis ever on the duty to cater the needs ofmedical professionals, the advent of roboticshas changed the world. Robotics can be used

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Int. J. Elec&Electr.Eng&Telecoms. 2015

1 M. Tech Student, Department of Instrumentation and Technology, SJCE, Mysore, India.2 Assistant Professor, Department of Instrumentation and Technology, SJCE, Mysore, India.

to deal with tasks effectively, it is often an aptcompanion for herculean tasks, as they arefunctional in all environments, efficient andconsistent in effect. Certain tasks requirerobots only, and they can be replaced insteadof humans for laborious work. But, controllingthese robots in real life situations poses athreat, these robots can be controlled by avoice command and even can recognizespeech and respond likewise. This paper

Research Paper

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Int. J. Elec&Electr.Eng&Telecoms. 2015 Nikhil K and Rathnakara S, 2015

envisions a technology that enables the featureof speech in robotics, to help the biomedicalworld miles more in keeping the world healthy.

Speech is the most critical medium ofcommunication with any subject, the power ofspeech has taken man to the levels he is today.Although, words can move mountains, man hasoften found control by his words and failure forthe lack of it, the feature envisioned in thispaper surely renders man to control thetechnology to move mountains. This paperenvisages a vision of enabling speechrecognition into robotics, empoweringmankind with the capacity to control, operatetheir functions with a word from the mouth. Theentry of Robotics into various fields of life isprolific, with speech recognition, robotics canbe taken to different levels, robots can becontrolled by talking to it, by using regularwords of everyday speech, words that are usednormally in our regional dialects. Zigbeesuccessfully enforces the process oftransmitting and receiving the speechcommand between laptop computer-robotand robot - laptop computer because of itswide range of connectivity wirelessly. Roboticmodule can be controlled by speechcommands with the help of an externalmicrophone or manually by using Laptopcomputer. The commands are being adoptedin regional language Kannada. A Speech user-interface is designed for interfacing with theRobotic module.

RELATED WORKAccording to the survey on Robotics the useof robotics in was up by 19% in 2002. In ûrsthalf of 2005, the orders for the robots for theindustrial were up by 17% which was an highest

level ever recorded. The forecast in the year2003-2006 tells the use of robotic wasincreased by an average annual rate of about6.97%. Over 5 Million robots are used inhousehold in the next few years. From theUNECE issues in 2004 World Robotics surveywe can easily realize that household (service)robots getting popular. This gives theresearcher more interest to work with servicerobots to make it more user friendly to thesocial context. Speech Recognition technologygives the researcher the opportunity to addNatural language communication with robot innatural. So the robot that behave more similarto humans is starting to become a reality. REXis the first fully bionic human robot. It can walk,talk and even has a beating heart just likehumans.

A multipurpose human assistance roboticdog is designed to guide the visually impairedand elderly people to some predefineddestination avoiding obstacles and traffic. It isalso designed to act as an advancedmultipurpose human assistance. A robot isdesigned in order to recognize the wordsspoken by the user, talk to them and take actionaccording to the spoken voice command. TheVoice commands are recognized by anandroid Smartphone and the information istransferred to the main MCU using a Bluetoothserial port that runs Bluetooth SPP protocolstack (Joshuva Regan and Barkunan, 2014).We designed a walking frame incorporatingboth robotic technology and speechrecognition, which enables the user control thewalker’s navigation and speed using speechcommands. The materials used were wood,EZ-B v3 Bluetooth Robot Controller,continuous rotation servos, 6 AA batteries and

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Int. J. Elec&Electr.Eng&Telecoms. 2015 Nikhil K and Rathnakara S, 2015

peripheral cables for connections. The EZ-Bv3 Bluetooth Robot Controller was configuredwith different speech commands using the EZ-Builder Robot Control Software. Speechrecognition tests were carried out on therobotic walker in both quiet and noisyenvironments (Danquah-Amoah et al., 2013).A walking frame or walker is a tool for disabledor elderly people who need additional supportto maintain balance or stability while walking(Pedretti, 2001).

PROPOSED SYSTEMThe proposed system basically has threemodules. One is speech recognition unit andthe other is communication unit the final moduleis of control unit of robot. The entire modulesetup is as shown in Figure 1.

Voice command is given speechrecogniser through microphone, once speechis recognised it is transmitted through zigbeeprotocol to controller unit for further action.Controller will decode the input once it isreceived from zigbee receiver and generateUnicode to do particular action.

Module 1: Speech Recognition UnitThe Speech commands are given to therobotic module through external microphone.The Input Speech command is searched and

is compared with the data present within theprogram

Module 2: Communication UnitZigBee is a high-level communication protocolused to create personal area networks builtfrom small, low-power digital radios. ZigBeeis based on an IEEE 802.15.4 standard. It hasa low power consumption and limitstransmission distances to 10-100 meters.ZigBee devices can transmit data over longdistances by passing data through a meshnetwork of intermediate devices to reach moredistant ones. ZigBee is best suited forintermittent data transmissions from a sensoror input device. Applications include wirelesslight switches, electrical meters with in-home-displays, traffic management systems, andother consumer and industrial equipment thatrequires short-range low-rate wireless datatransfer.

Once the input speech is recognised thespeech from speech database, a signal istransmitted to the robotic module fromrecognition unit. For the process oftransmission and receiving, a newcommunication technology is used, i.e.,Zigbee. This technology is used because ofits high range of connectivity wirelessly.Another Zigbee is present within the modulefor receiving.

Figure 1: Block Diagram of Robot Control System Using Voice Commands

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Int. J. Elec&Electr.Eng&Telecoms. 2015 Nikhil K and Rathnakara S, 2015

Module 3: Robot Control UnitThe received signal is given to themicrocontroller for controlling the robot todo particular action. Once the recognisedsignal matches with database the controllerwill generate a Unicode to do particularaction.

The commands are as follows: Mundhae(Front), Hindae (Back), Eda (Left), Bala (Right),Mhele (Up), Kelage (Down), Hedee (Grip),Bedu (Release), and Nillu (Stop).

Commands Response

Mundhae Moves Front

Hindae Moves Back

Eda Arm Moves Left

Bala Arm Moves Right

Mhele Arm Moves Up

Kelage Arm Moves Down

Hedee Arm Grips The Object Like Knife orScissor

Bedu Arm Releases The Object

Nillu Robot Stops

Table 1: Robot Commands

Algorithm FlowSpeech command is given to Module 1,speech recognition unit through microphone.The voice command is compared withpredefined set of database stored in memoryand check whether it matches the list presentin database. If the speech matches thedataset based on the recognised commandfurther action is taken by controller unit tomove the robotic module. Otherwise the voicecommand is given again by the user for nextspeech command. This process is as shownin Figure 2.

Figure 2: Flowchart of Robot Control

Commands Itteration Result Efficiency (%)

Bala 1 Moves 80

2 Moves

3 Moves

4 DoesnotMoves

5 Moves

Heede 1 Hold 100

2 Hold

3 Hold

4 Hold

5 Hold

Table 2: Performance Analysis

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Int. J. Elec&Electr.Eng&Telecoms. 2015 Nikhil K and Rathnakara S, 2015

CONCLUSIONIn this project a multipurpose assistance robotis designed which is very much helpful in thefuture Medical field. The robotic module wasconstructed and tested successfully by usingspeech command of different regional

Figure 3: Speech Recognition Panel

Figure 4: Robot

languages. Also, the incorporation of roboticand speech technology has made the Doctorseasier to communicate with the robot in theirregional language during operations andsurgeries. This is, hopefully, will be an majordevelopment in the field of Medicine.

REFERENCES1. Danquah-Amoah, Daniel Amiteye,

Bassey Eno Basiono and Akyampon-Sakyi Yaw (2013), “Robotic WheeledWalker for the Aged Using SpeechRecognition Archibald”, Department ofBiomedical Engineering, All NationsUniversity, Koforidua Ghana.

2. Joshuva Regan M and Barkunan S R(2014), “Voice Recognition Robot forVisually Impaired People”.

3. Pedretti L (2001), “Occupational Therapy:Practice Skills for Physical Dysfunction”,Mosb, St Louis.

4. Yamasaki N and Anzai Y (1995), “ActiveInterface for Human-Robot Interaction”,Proceedings of the 1995 IEEEInternational Conference on Robotics andAutomation, pp. 3103-3109, Nagoya,Japan.