Lampu Sein Helm Sepeda Berbasis Voice Recognition

2019 ◽  
Vol 11 (01) ◽  
pp. 20-25
Author(s):  
Indra Saputra ◽  
Parulian Silalahi ◽  
Bayu Cahyawan ◽  
Imam Akbar
Keyword(s):  
Voice Recognition ◽  
Driving Safety ◽  
Bicycle Helmet ◽  
Turn Signal ◽  
Voice Command ◽  
The Voice ◽  
Indicator Signal

Bicycles are not equipped with the turn signal. For driving safety, a bicycle helmet with a turn signal is designed with voice rrecognition. It is using the Arduino Nano as a controller to control the ON and OFF of turn signal lights with voice commands. This device uses a Voice Recognition sensor and microphone that placed on a bicycle helmet. When the voice command is mentioned in the microphone, the Voice Recognition sensor will detect the command specified, the sensor will automatically read and send a signal to Arduino, then the turn signal will light up as instructed, the Arduino on the helmet will send an indicator signal via the Bluetooth Module. The device is able to detect sound with a percentage of 80%. The tool can work with a distance of <2 meters with noise <71 db.

scholarly journals Voice Controlled Home Automation

2019 ◽  
pp. 235-240
Author(s):  
P. Kiran Kumar ◽  
G. Joga Rao ◽  
A. Suguna ◽  
K. Bhanu Prakash Kavya G ◽  
P. Venkata Srikar Srihari
Keyword(s):  
Power Supply ◽  
Voice Recognition ◽  
Smart Phone ◽  
Home Automation ◽  
Disabled People ◽  
Voice Input ◽  
Voice Command ◽  
Home Appliances ◽  
The Voice ◽  
At Home

The work is mainly concentrated on the implementation of Voice Controlled Home Automation. It is all about the development of home appliances based on the voice command using Android. The system is used to support elderly and disabled people at home. Google application is used as voice recognition and process the voice input from the smart phone. The voice activated home automation is implemented using NodeMCU, relays, pcb connectors, diodes and power supply. The voice input is captured by the android and the NodeMCU receives the signal to control the light, fan, bulb

scholarly journals Design and Implementation of Modernised Dental Chair using Voice Recognition Control Circuit

2019 ◽  
Vol 8 (9S2) ◽  
pp. 355-357
Keyword(s):  
Low Cost ◽  
Voice Recognition ◽  
Continuous Operation ◽  
Control Circuit ◽  
Voice Command ◽  
Design And Implementation ◽  
Dental Chair ◽  
The Voice

Generally, in hospitals the dental chair can be operated forward/backward or upward/downward according to the treatment for the patients which is operated by human. Sometimes the chair will not function properly due to piston rust and over weighted patient and the dentist may have pain in the legs due to continuous operation of the chair. To overcome these issues, planning to design a voice recognition dental chair for the doctors in hospitals. This project describes the design of a smart, motorized, voice controlled dental chair. The voice command is given by the dentist/human, sensor recognizes the voice and sends the command to the Arduino. This voice command is converted to string and it is responsible for movement of chair. The intelligent dental chair is designed in such a way that it can be controlled easily by the doctor and has an advantage is the low cost design. This system was designed and developed to avoid wasting the energy and time of the doctor

Voice Controlled Wheel Chair with Intelligent Stability

2020 ◽  
Vol 17 (8) ◽  
pp. 3689-3693
Author(s):  
Arumugam Srinivasan ◽  
ThangaRaj Vinoth ◽  
R. Ravinder ◽  
SamuelPriyan Mosses ◽  
Yagnesh Kumar
Keyword(s):  
Recognition Rate ◽  
Voice Recognition ◽  
Servo Motor ◽  
Voice Command ◽  
Wheel Chair ◽  
Physically Challenged ◽  
The Voice

This paper is about a wheel chair controlled by voice command developed to help the physically challenged people. The physically challenged person as user can control the wheel chair by voice commands such as forward, reverse etc. ‘Julian’ a grammar based recognizer is used in this system. The basic commands, the short motion command and the command of verification are the three commands given to the system. Julian has successful recognition rate of 98% of commands given to it based on the studies and experiments conducted. Patients and physically challenged people are depending on others while moving on wheel chair hence they do not have freedom in motion. This voice command controlled wheel chair provides freedom of motion to patients and physically challenged to be independent on movement to the respective places. Arduino control the motor by motor driver based on the commands processed by the voice recognition module. This voice command controlled wheel chair provides motion on the patient or physically challenged people voice. Gyroscopic sensor is used to maintain the level straight of the wheel chair when the person travelling in the slope it prevents the person to feel off from the chair which is operated by servo motor.

scholarly journals Rakshak – An IoT Based Wearable Device for Women Safety

2020 ◽  
Vol 9 (4) ◽  
pp. 2068-2077
Keyword(s):  
Large Scale ◽  
Voice Recognition ◽  
Wearable Device ◽  
Voice Command ◽  
Sequence Of Events ◽  
Remote Storage ◽  
Crimes Against Women ◽  
Security Device ◽  
Smart Safety ◽  
The Voice

Women safety is a rising concern in many parts of the world. Crimes against women are increasing at an alarming rate. To counter this situation, a technology driven solution with the help of latest technological advancements can be developed. The aim is to develop an IoT based wearable device which works on the concept of voice recognition and allow women in the case of emergency. The device can send SOS messages to nearby help centers and relatives based on the person’s location when it is activated. The device can also collect evidence for further legal procedures and save them in a remote storage. The concepts of Internet of Things (IoT), Voice Recognition and Cloud Computing are used to achieve this. The objective is to use these concepts to develop a working prototype of a smart safety device for women that can help them in such situations and prevent such incidents from taking place. ‘Rakshak’ is an IOT based solution, which will help us to combat these situations effectively. It contains a concealed GSM, GPS, camera, microphone, and voice recognition module. The woman can activate a sequence of events using a voice command. The voice command will send out an SOS signal to contact list, and nearby authorities. The authorities can rush to the location of the incident and prevent it. The camera will start recording as soon as the voice command is activated, and this data will be sent to cloud storage. In case an attack takes place, the footage of this camera will serve as evidence against the attacker. In addition to preventing the incident, this device may create a sense of fear in their minds which may reduce the frequency of such incidents. Thus, this solution can be applicable as a wearable security device in different domains and can be used on a large scale to ensure women safety.

ANALYSIS OF VOICE CUES IN RECOGNITION OF SARCASM

2019 ◽  
Vol 12 ◽  
Author(s):  
Basavaraj N Hiremath ◽  
Malini M Patilb
Keyword(s):  
Feature Extraction ◽  
Computer Program ◽  
Principle Component Analysis ◽  
Voice Recognition ◽  
Component Analysis ◽  
Recognition System ◽  
Principle Component ◽  
Whole Process ◽  
The Voice

The voice recognition system is about cognizing the signals, by feature extraction and identification of related parameters. The whole process is referred to as voice analytics. The paper aims at analysing and synthesizing the phonetics of voice using a computer program called “PRAAT”. The work carried out in the paper also supports the analysis of voice segmentation labelling, analyse the unique features of voice cues, understanding physics of voice, further the process is carried out to recognize sarcasm. Different unique features identified in the work are, intensity, pitch, formants related to read, speak, interactive and declarative sentences by using principle component analysis.

Voice Assistant — Application of Speech Recognition Technology in the Android System

2014 ◽  
Vol 596 ◽  
pp. 384-387
Author(s):  
Ge Liu ◽  
Hai Bing Zhang
Keyword(s):  
Speech Recognition ◽  
Service Providers ◽  
Voice Recognition ◽  
Working Process ◽  
Bottleneck Problems ◽  
Speech Recognition Technology ◽  
Android System ◽  
The Voice

This paper introduces the concept of Voice Assistant, the voice recognition service providers, several typical Voice Assistant product, and then the basic working process of the Voice Assistant is described in detail and proposed the technical bottleneck problems in the development of Voice Assistant software.

scholarly journals Design and Fabrication of Voice Controlled Unmanned Aerial Vehicle

2016 ◽  
Vol 5 (3) ◽  
pp. 205
Author(s):  
S. Sakthi Anand ◽  
R. Mathiyazaghan
Keyword(s):  
Control System ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Voice Recognition ◽  
Search And Rescue ◽  
Voice Input ◽  
Recognition Process ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
The Voice

<p class="Default">Unmanned Aerial Vehicles have gained well known attention in recent years for a numerous applications such as military, civilian surveillance operations as well as search and rescue missions. The UAVs are not controlled by professional pilots and users have less aviation experience. Therefore it seems to be purposeful to simplify the process of aircraft controlling. The objective is to design, fabricate and implement an unmanned aerial vehicle which is controlled by means of voice recognition. In the proposed system, voice commands are given to the quadcopter to control it autonomously. This system is navigated by the voice input. The control system responds to the voice input by voice recognition process and corresponding algorithms make the motors to run at specified speeds which controls the direction of the quadcopter.</p>

INFORMATION SYSTEM FOR PEOPLE WITH HEARING IMPAIRMENT

2021 ◽  
Vol 335 (1) ◽  
pp. 54-59
Author(s):  
Y.S. Nurakhov ◽  
A.E. Kami
Keyword(s):  
Quality Of Life ◽  
Information System ◽  
Public Life ◽  
Voice Recognition ◽  
Hearing Impairments ◽  
Hardware Complex ◽  
Software And Hardware ◽  
Functional Blocks ◽  
The Voice

The article presents the development of an information system for recognizing voice into text for people with hearing impairments, which makes it possible to improve the quality of life and interaction in society with other people. The device, software, functional blocks and subsystems of the information system are described. Examples of possible application and placement of the system in various spheres of public life are given. One of the types of implementation of the voice recognition information system is described. The development and creation of prototypes of a device for people with hearing impairments is considered. In the course of the research, the Google Speech Api technology was selected for speech recognition. In addition, this article presents a software and hardware complex that allows you to translate speech into text and then display it on the screen. Arduino UNO-based devices were chosen to achieve the goal. All information is processed on the smartphone of people with hearing impairments, which is sent to the device via Bluetooth with Arduino.

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