Wheelchair Control Using Voice Recognition

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.

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...

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...

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.

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.

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 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.

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).

— 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.