The Research of Smart Home Control Systems Based on Voice Activated Technology

2014 ◽  
Vol 912-914 ◽  
pp. 1477-1480
Author(s):  
Ting Ting Yu ◽  
Sen Lin Jiang
Keyword(s):  

This paper first describes the defects of operation terminal in smart home, Then the feasibility that voice activated technology is applied in the operation terminal of smart home is proposed,and the lack that voice activated technology is applied in the operation terminal of smart home is researched, Finally, a method is proposed to improve the voice activated technologyapplied in smart home.

2017 ◽  
Author(s):  
Ivan A. Berg ◽  
Oleg E. Khorev ◽  
Arina I. Matvevnina ◽  
Alexey V. Prisjazhnyj

1986 ◽  
Vol 30 (7) ◽  
pp. 638-641
Author(s):  
John P. Zenyuh ◽  
John M. Reising

The objective of this study was to compare the relative effectiveness of three modes of subsystem control: a voice recognition system with visual feedback presented on the head-up display, a standard multifunction control device with tailored switching logic, and a remotely operated multifunction control with feedback presented on the head-up display. Comparisons were based on measures of interference with a loading task and overall speed and accuracy of the control operations performed. The working hypothesis was that the voice system and head-up multifunction control would manifest substantially lower interference with the primary task, while subsystem control operation times would remain unaffected by control mode. The results indicate that performance with the remote touch panel was significantly poorer than with the voice or standard multifunction control systems.


Internet of Things is a rising innovation that makes our world more astute. In recent years, there has been immense development in the realm of insightful gadgets for home mechanization. Such contraptions are planned so as to facilitate communication among individuals and everyday home obligations. This paper exhibits a voice-controlled smart home with multi-functions using ESP32 as the wireless choice. Voice control (using human voice to control any load like light, fan, ac, geyser, motor etc.). The voice-commands are recognized by a dedicated hardware module and the recognized data is sent to database using ESP32. On the accepting unit, raspberry pi peruses the information from the database and deciphers the directions verbally expressed by the client and controls the family unit apparatuses.


Author(s):  
Ahmed J. Obaid

A smart home personal assistant technology is an intrinsic system, which incorporates many elements such as users, Smart Home Personal Assistants (SPA) devices, cloud, skill provider and other responsive devices. Even though Smart Home Personal Assistants give a robust security and privacy options, the devices face many weaknesses, which make the system vulnerable and can be comprised by adversaries, who can capitalize on limitations to gain access to delicate information and privacy of users. In this research, the aim is to assess how invention and innovation of security and SPA can be harnessed by users to interrelate with the system. Subsequently, this write-up will address both the problems related to the system and attempt to bring in solutions, which makes the technology more adaptable and versatile to all users. Initial studies show that some of the weakness underlying the technology include the open-nature of the voice channel, complexity of the architecture, software implications, and the utility of the technology to less proficient users. As a result, the study anticipates at solving the voice squatting attack, using the SPA intelligent assistant, incorporating a filer to filter the ultrasonic attack and noise as well as trying to assess the efficacy of the elements developed against the voice squatting attacks. The study found out that there is a need to mitigate the attacks on the blockchain technology and Natural Language Processors (NLP) to assure protection of SPA from attacks.


2015 ◽  
Vol 734 ◽  
pp. 369-374 ◽  
Author(s):  
Ping Qian ◽  
Ying Zhen Zhang ◽  
Yu Li

The application of embedded speech recognition technology in the smart home is researched, combining of the Internet of Things, the voice control system for smart home has been designed. The core processor chooses the high-performance Cortex-M4 MCU STM32F407VGT6 produced by STMicroelectronics. The system contains a hardware unit based on LD3320 for speaker-independent speech recognition. RF wireless communication uses ultra-low power chip CC1101 and GSM employ SIM900A. Real-time operating system FreeRTOS is used for multitask scheduling and the operation of household devices. The practical application verifies that this voice control system practicably can identify voice commands quickly and accurately, complete the control actions primely, has a wide application prospect.


2021 ◽  
Vol 2094 (3) ◽  
pp. 032004
Author(s):  
A A Popov ◽  
S P Yakimov ◽  
M M Satsuk ◽  
A A Artyshko

Abstract The relevance of the studied and solved problem lies, on the one hand, in the possibility of automated control of your home devices, and on the other, in the absence of unified control systems for a smart home as a project. The latter thesis implies the actual absence of such an automated control system among the existing and sold ready-made solutions, which could be expanded by the user himself, that is, by the buyer. In this regard, there is a need to improve and develop our own product in this area. This approach will allow you to combine both the creation of your own working prototype of a smart home, and your own implementation of the automated control system, which will allow each user to refine, modify and implement new devices independently in an already assembled system based on his house or apartment. This article presents the main aspects of the design and software solution used. The software implementation is performed in the JetBrains PhpStorm development environment in PHP, Apache web server, MySQL DBMS.


2019 ◽  
Vol 2019 ◽  
Author(s):  
Chris Chesher

Smart speakers such as the Google Home have the seemingly magical capacity to respond to user invocations in natural language. I argue that these are invocationary acts. In terms of Austin’s speech act theory, smart speakers interpret what the user says (locutionary: speech-to-text), what their statement does (illocutionary: artificial intelligence), and attempt fulfil the obligation of the user’s command (perlocutionary: AI & text-to-speech). The smart speaker responds with its own speech acts; in Searle’s terms it might assert facts (representatives: e.g. answering a factual question), ask the user to do something (directive, e.g. asking a question in a quiz game) communicate a psychological state (expressive: e.g. answering the question ‘Do you love me?’), commit to a future action (commissive: e.g setting a timer) or make a declaration (such as confirming a purchase). User invocations are most often directives, and are most often initiated with the ‘wake word’ ‘Hey Google’. The computer’s response comes automatically through what I call invocationary acts. In this case, the user’s invocation is answered by the evocation of synthesised speech, sound, music and/or images. Drawing on an analysis of 300 commands drawn from online publications, I developed a typology of invocationary acts: Search, Lookup, Error, Media, Third party search, Location, User data, Random, Scripted response (often randomly selected from multiple answers), Interaction (applications such as a tutorial or a game), Device (controlling media, or smart home devices) and Clock. This analysis points to the limitations of the voice user interface paradigm.


The speech control is now most important feature of a smart home. In this paper, we projected voice command module that is used to enable the user for a hands-free interaction between smart home and himself. We presented mainly three components that is required for a simple and an efficient control of smart home device(s). The wake-up-word parts allows the actual speech command processing. The voice recognition part maps the spoken voice command to text and then Voice Control Interface passes that text into an appropriate JSON format for the home automation. We evaluate every possibility of using a voice control module in the smart home by distinctly analyzing each and every component of module


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