Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2019
The idea of using voice activated technology for controlling the motion of the wheelchair is to help many people with disabilities especially quadriplegics who do not have the dexterity necessary to control a joystick on an electrical wheelchair. The aim of this study is to implement an interesting application using small vocabulary word recognition system. The methodology adopted is based on grouping a microprocessor with a speech recognition development kit for isolated word from a dependent speaker. The resulting design is used to control a wheelchair for a handicapped person based on the vocal command and furthermore the user can select either slow or fast speed to move the system. This speed selection is in important for safety and extra maneuverability of the user. For example, if the user need only to move in a short distance or to approach object, he should use the slow speed. This paper describes the design and development of the motion control using voice recognition for a...
Many people with disabilities do not have the necessary ability to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an Electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. In this work we adopted the use of a microcontroller , a DSP processor and a hardware speech recognition module for isolated word from a dependent speaker. To give the user more security, we included on the electric wheelchair a set of sensors in order to avoid obstacles. To gain in time design, tests have shown that it would be better to choose a speech recognition kit and to adapt it to the application.
2021
There is always a need for a physically challenged persons to seek help of others for moving from one place to another. Thus, the problems that they are facing can be solved by using speech recognition technology to move the wheelchair. Speech recognition technology is a key which may provide a new way of human interaction with machines or tools. The proposed work is to facilitate the movement of people who are disabled or handicapped and elderly people who are not able to move well. Here the Voice Controlled Wheelchair moves by using speech recognition module and with the possibility of avoiding obstacles. A program is designed to interface with the Renesas microcontroller and voice recognition unit that recognizes a voice and in turn controls the movement of wheelchair. The design of this smart system will allow certain people to live a life with less dependence on others. Index Terms – Renesas microcontroller, Speech recognition, Android.
Many people with disabilities do not have the dexterity necessary to control a joystick on an electric wheelchair. Moreover, they have difficulty to avoid obstacles. The aim of this work is to implement a multi-modal system to control the movement of an Electric wheelchair using small vocabulary word recognition system and a set of sensors to detect and avoid obstacles. The methodology adopted is based on grouping a microcontroller with a speech recognition development kit for isolated word from a dependent speaker and a set of sensors. In order to gain in time design, tests have shown that it would be better to choose a speech recognition kit and to adapt it to the application.
Design and Test Workshop, 2008. IDT …, 2009
Users are able to operate a joystick to control the chair, however many more severely handicapped users need some other means of controlling the wheelchair. The aim of this work is to implement an interesting application using small vocabulary word recognition processor and some sensors on a smart system. The adopted model is based on grouping a microcontroller with a new voice recognition module for isolated word and speaker dependent. The resulting design is used to control a wheelchair for a handicapped individuals based on a vocal command. In order to gain in time design, experiments have shown that the best way is to choose a speech recognition kit and to adapt it to the application. The input of the system are a set of eight Arabic words used to control the movement of an electric wheelchair, a vector of information on the context given by a set of sensors and a joystick for security actions; The output is a corresponding command and a set of indicator LED (Light Emitting Diodes). The system is developed in order to be installed on the wheelchair. Therefore it should be easy to carry, easy to operate and with low power consumption.
The main objective of our project is to design a wheel chair for physically disabled persons, controlled by voice input. The entire system is controlled by the PIC (16F877A) microcontroller and the voice recognition IC (HM 2007) is used, which is capable of storing voice signals, and generating good recognition performance on highly disordered speech. The voice IC consists of non-volatile memory back-up with 3V battery onboard, which will store the speech recognition data in RAM after the power off condition. Whenever a voice is given as input in the Mic the received voice is compared against the stored voices. On successful matching of the voice the HM2007 IC will send the corresponding codes to the controller. The controller interprets the command and activates the I/O ports accordingly. The Wheelchair rotation will be based on the motor connected to it. The motor is controlled by the I/O of the controller.
The wide spread prevalence of lost limbs and sensing system is of major concern in present day due to wars, accident, age and health problems. This Omni-directional wheelchair was designed for the less able elderly to move more flexibly in narrow spaces, such as elevators or small aisle. The wheelchair is developed to help disabled patients by using speech recognition system to control the movement of wheelchair in different directions by using voice commands and also the simple movement of the patient's fingers with keypad control. From previous literature surveys it was observed that the moments of wheels of wheelchair is difficult in diagonals direction, in this proposed system achievement of wheelchair movement in all direction is obtained by using multi-directional Omni-wheels which makes the diagonal moments comparatively flexible.
International Journal of Scientific Research in Science and Technology, 2021
Many disabled people usually rely on others in their standard of living especially in getting from one place to a different. To use wheelchair, they have someone to assist them in moving the wheelchair. Having a wheelchair system will help handicapped persons become independent. The system could be a wireless wheelchair system with a voice recognition system for triggering and controlling all its movements. The wheelchair responds to the voice command by user to perform any movement. It integrates a microcontroller, android phone, control interface board to maneuver the wheelchair. By using the system, users are able to operate the wheelchair by simply talking to wheelchair microphone. the essential movement functions includes forward and reverse direction, left and right turns and stop. It utilizes Renesas Microcontroller to manage the system operations. It communicates with the voice recognition processor to detect word spoken and so determines the corresponding output command to ...
This paper describes Wheelchair control using speaker Idendification for handicapped person. Freedom of mobility is the dream of every person especially in the case of quadriplegics and multiple indurate persons. Many of the Quadriplegics and multiple indurate persons can’t operate their body below the neck.so they are dependent on others for their daily works.so they need helpers to travel or move from one place to another place therefore they don’t have freedom of mobility. The purpose is to develop a powered Wheelchair for Quadriplegics and multiple indurate patients those who cannot operate their wheelchair through joysticks these people can able to operate wheelchair by their voice commands. This wheelchair can be easily use and driven to desired direction with minimum efforts. This powered wheelchair system consist of Microcontroller, DC motors. The voice recognition is done with the help of Matlab based PC and its output in digital form will be sent to microcontroller with the help of which they can control the wheelchair according to the users commands. The GSM based module is used in emergency needs. Another advantage added is in case of emergency a message will be sent to the persons relative mobile no. avoids the major accident or during the situation when patient cannot handle himself.
Control Engineering Practice, 1995
This paper describes the control of an electric wheel chair with voice commands. This chair has been developed and built at the U.A.H. Electronic Department and financed by the ONCE Foundation (Spain). The first prototype consists of voice recognition, motor control, user interface and central processor modules. The electronic system allows the chair user a safe, easy ride, and guarantees the concordance between user commands and actual trajectories. Furthermore, the system has been designed to allow the addition of future features, like obstacle and stair detection and the tele-commanding of electrical household appliances from the chair.
2020
Assistant professor IN ECE DEPARTMENT in Panchkula engineering College -------------------------------------------------------------------------***-----------------------------------------------------------------------Abstract—This paper describes intelligent Multilanguage voice controlled wheelchair which operates on user’s voice commands (Multilanguage). The disabled people cannot move from one place to another on their own. They continuously need someone to help them in getting the wheelchair moving. This voice controlled system makes them more independent. Powered wheelchairs with the standard joystick interface are unable to be control by many people. A voice controlled wheelchair can provide easy access for physical disabled person who cannot control their movements especially hands. Few patients such as quadriplegic, cerebral palsy and multiple sclerosis are dependent on other people to move from one place to another and due to this they don’t have the freedom of mobility. Th...
2015
In this work, in order to support physically handicapped persons a low cost voice controlled wheelchair is proposed. The person can control the wheelchair by voice commands. This paper presents the proposal, design and implementation of a microcontroller based voice controlled wheelchair. As speech is the preferred mode of operation for human being, this work intends to make the voice oriented command words for controlling wheelchair. Voice recognition module has to be added to the wireless network. The voice command is a person independent. The system comprises of transmitting and receiving module. Initially, the voice command is stored in the data base with the help of the function keys. Then the input voice commands are transmitted through wireless. The voice received is processed in the voice recognition system where the feature of the voice command is extracted and matched with the existing sample in the database. The module recognizes the voice and sends control messages to th...
https://ijshr.com/IJSHR_Vol.5_Issue.2_April2020/IJSHR_Abstract.0033.html, 2020
Most of the disabled people usually depend on others in their daily life especially in moving from one place to another. For the wheelchair users, continuously they need someone to help them in getting the wheelchair moving. By using a wheelchair control system they become more independent. The moto of this research project is to design and fabricate a voice controlled wheelchair for physically disabled people. The wheelchair control system which deploys a voice recognition system for triggering and controlling all its movements. It integrates a microcontroller, voice recognition through Google assistant, motor control interface board to move the wheelchair. By using the system, the users are able to operate the wheelchair by simply speaking and commanding through Google assistant. The basic functioning process includes forward and reverse direction, left and right turns and stop. It uses a PIC controller manufactured by Microchip Technology to control the system operations. It communicates with the voice recognition through Google assistant and works with the commands which is saved as the number system directed from the Ada-fruit cloud. The speech is given and then determines the corresponding output command to drive the left and right motors. To finish this task, an assembly language program is written and stored in the controller's memory.
2009
A typical electric powered wheelchair is normally buttons or joystick operated which requires some degrees of hand movements. However, for severely physically disabled patients such as patients with high level spinal injury, their hand motions can be restricted. One of the alternative wheelchair control methods is to use speech control instead of joystick control. A speech control system would allow the user to operate the wheelchair with speech commands instead of hand movements. In order to perform speech recognition on the given commands, a front-end process on speech signals is implemented. Some of the major components include data acquisition, feature extraction, and data quantization. An endpoint detection algorithm based on energy analysis is used to isolate individual words. Linear predictive coding (LPC) and cepstral analysis are chosen to characterize speech signals. For data compression and classification, fast vector quantization (VQ) codebook design and search algorithms are implemented based on partial distortion theorem. For each isolated words, this front-end process would provide a speech recognition system with a sequence of indexes which is a compressed representation of the characteristics of the original speech. The basic algorithms, hardware and software design, the results are presented.
This paper introduced an approach to design and implement a control system for the movement of wheelchair by means of the human voice for paralyzed patients. In this paper, the Mel-Frequency Cepstral Coefficient (MFCC) technique is used as feature extraction with Dynamic Time Warping (DTW) for features matching. The output of the system is used to control the movement of the wheelchair through an interface between notebook and microcontroller. The experimental results showed that the proposed methods gave a recognition rate 100% of the already trained speakers with environment noise reach to 66dB. The test was conducted at different sound levels of the surrounding environment (53 to 73) dB as measured by Sound Level Meter (SLM).
IJCSMC, 2017
The main objective of VOICE CONTROLLED WHEEL CHAIR SYSTEM project is recommended to control a wheel chair by using speech recognition module. The system is designed to control a wheel chair using the voice of person. The objective of this project is to fascilate the movement of people who are disable or handicapped and elderly people who are not able to move well. The goal of this system will allow certain people to live a life with less dependence on others for their movement as a daily need. Speech recognition technology is a key technology which will provide a new way of human interaction with machine or tools. Therefore the problems that they face can be solved by using speech recognition technology for the movement of wheel chair. This can be realized and optimized with use the smart phone device as an intermediary or interface. In this project interfaces has been designed therefore to develop a program for recognize speech also controls the movement of chair and an application which can handle or manage the graphical commands. This project uses arduino kit Microcontroller circuit and DC motors to create the movement of wheel chair and Ultrasonic Sensors to detect the hurdles in between wheelchair and the way of direction.
This project opens a new hope to the physically challenged people. Freedom of mobility is the dream for every patient especially in the case of people suffering from cases such as quadriplegics and multiple sclerosis .Although many types of mobility equipments are available for these type of patient there is no independent means of mobility device for these patients since they cannot drive a joystick or manual wheelchair. In order to aid these types of patients we are developing voice operated wheelchair. The movement of the wheelchair is controlled by the voice of the user. This wheelchair can be driven to the preferred direction with minimum effort.The user requires only less training to use this wheelchair. Technically this wheelchair is integrated with a voice recognition module to identify the voice, a microcontroller which can be programmed other supporting hardware components and a motor driver L293D.The proposed microcontroller based voice operated wheelchair would bring more convenience for the disabled people. Two DC motors can be driven simultaneously, both in forward and reverse direction with the help of L293Dmotor driver. Here we can control the motors to move right, left, forward, reverse, free runs and stop or break.To provide tilt operation for this wheelchair we use selective movement of a single motor based on the diameter and speed of the wheel. Also can calculate how much movement is required to tilt the wheelchair at a desired angle.
International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022
According to research there are about 6 million populations in the world who are paralyzed and needs a wheelchair for their mobility. Earlier the wheelchairs had to be moved and be externally supported by any person. To help overcome this "joystick-controlled wheelchairs" are developed. But in regular use, these joystick-controlled wheelchairs became difficult to use. Especially in the case of paralyzed people, the use of joystick became more difficult due to the hard buttons and unidirectional use of the joysticks. To overcome these problems, we've tried to develop a "gesture-controlled wheelchair" which can be moved with a slight tilt of the hand. This can be used in both hands and can be controlled to come to the user from a distance. The current work is implemented with Arduino based devices such as Arduino UNO processors and programmed through Arduino IDE.
… in Nanoscal Era, 2009. DTIS'09. …, 2009
— The technology and science has achieved many new heights but still the mankind is left physically disabled at some time in their lives. In the view of present scenario in India among the total population of the country around 27.1% are the sufferer from the disability of the movement. An important aspect of the paper is to integrate persons with disabilities in the society so that they can actively participate in society, be a part of a society and lead a normal life. Therefore in the present work an attempt has been made to provide better maneuverability with the help of a Voice Controlled Wheelchair. The main aim of the paper is to focus on the movement by a voice command. The simple words like Go, Back, Left, Right and Stop are used. The controller decodes the maneuvering commands by speech-recognition techniques and transmits these commands to the Wheelchair motors to affect the desired motion.
Journal of Telecommunication, Electronic and Computer Engineering, 2016
In this paper, we present our work called wireless voice-based wheelchair controller system, which consists of an Android device and a control system that controls the movement of wheelchair using a DC motor. This project is aim to ease the burden for wheelchair user especially for elderly people to move around. The control system is build using the Yo-Yo (IOIO) platform that controls the DC motor, communicates with the Android phone application using RF receiver through a Bluetooth communication protocol and RF signal. The Android application is developed using Basic-4-Android (B4A) rapid development tool connected with one main control interface using voice command, D-pad and joystick to control the motor driver MD30C direction and speed through IOIO platform based on four conditions; forward, backward, right and left. The speed movement is controlled by Pulse Width Modulation (PWM) signal while the direction movement for Qibla’ is generated by the control interface and guided by ...
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.