Zigbee Based Voice Controlled Wireless Smart Home System

Obaid, Thoraya; Rashed, Haliemah; Nour, Ali Abu El; Rehan, Muhammad; Saleh, Mussab Muhammad; Tarique, Mohammed

doi:10.5121/ijwmn.2014.6104

Cited by 39 publications

(12 citation statements)

References 28 publications

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“…Nour, M. Rehan, M.M. Saleh, and M. Tarique [17] has introduced the Zig-bee and voice controlled based wireless smart home methodology. In this methodology voice commands were used to convert the voice data into data format and it was sent to the receiver (via the WC).…”

Section: Literature Reviewmentioning

confidence: 99%

“…The speech based automation system are very helpful for physically challenged people, but most of the home and industrial automations systems [1][2][3][4][5][6][7][8][9][10][11][12][13][14] doesn't provide better accuracy and which doesn't have a security system for automation. Hence to moreover the existing limitation and improve the automation security a RASP-IoT-SA system has introduced.…”

Section: Rasp-iot-sa Systemmentioning

confidence: 99%

“…[2][3]. The existing automation technologies consists of Blue-tooth and Zig-bee [4][5]. The major limitation of the Blue-tooth and Zig-bee based methodology is, only the user can access the data up to a particular distance.…”

Section: Introductionmentioning

confidence: 99%

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Secured Speech Industrial Automation Based on Raspberry Pi and IoT

Rao¹,

Chandrakanth²

2018

IJIES

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Today, Internet is the best place to communicate and share information among the people throughout the world and gives an endless support of knowledge and entertainment. The main objective of Internet technology is to increase efficiency and decrease human effort. With the introduction of Internet of Things (IoT) in the last decade, we have been pushing for ubiquitous computing in all spheres of life. Physically challenged people are also using the Internet with the help of Speech commands (SC). The main objective of this paper is to minimize the effort and increase efficiency of the Voice recognition and IoT based secured automation, which is named as Raspberry pi and IoT based Speech automation (RASP-IoT-SA) technique. This RASP-IoT-SA system has only worked for authenticated users which improves the security in home and industrial automations. This RASP-IoT-SA system consists of four different Process such as secured speaker prediction, voice data transmission, web update and voice data Receiver processing. In this research work, Mel frequency Cepstral Coefficient (MFCC) technique is used for Feature Extraction (FE). Artificial neural network (ANN) technique is used for two different process such as, speaker prediction and speech data recognition (SR). The experimental result shows that the MFCC and ANN based technique provides better results in terms of accuracy, precision, false measure and recall. The RASP-IoT-SA technique delivers 99% of speech recognition accuracy, which was higher than the existing Speech automation technique.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Rasp-iot-sa Systemmentioning

confidence: 99%

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Secured Speech Industrial Automation Based on Raspberry Pi and IoT

Rao¹,

Chandrakanth²

2018

IJIES

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“…Since node device normally does not have high specs hardware, the captured voice will be sent to processing device which can perform faster computation. Therefore, methods to send the voice data become interesting [5].…”

Section: Introductionmentioning

confidence: 99%

Study of voice data communication using network streams on dataflow programming

et al. 2018

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Abstract. In this paper, we implement a voice data communications between sender and receiver through Wi-Fi. The system was designed and implemented using network stream protocol which was developed by National Instruments on Lab-VIEW between two devices. The device which acts as the sender was My-RIO board and the receiver device was Personal Computer. The voice data communication system was tested by observing the effect of various buffer sizes on the throughput, latency and CPU usage. The result showed that the larger the buffer size being used, the throughput values were also getting bigger. However, particular buffer size made the throughput became saturated. The change on the buffer size also directly affects CPU usage. It seemed that the buffer size did not affect latency significantly. It showed that the latency was stable with an average of 13 milliseconds on voice data transmission.

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“…The existing systems are based on technologies such as Bluetooth, Zigbee, WiMax, cloud computing etc. The main issue with these automation systems are the area coverage and connectivity [2] [3]. Bluetooth is a wireless automation protocol.…”

Section: Introductionmentioning

confidence: 99%

Home Theft Detection using Speech Recognition

P¹

2018

IJRASET

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Home automation systems have become more efficient and cost effective in recent years due to the availability of cheaper hardware and relentless work of start-ups striving to make a dent in this industry. The advancement of technologies like Bluetooth, Wi-Fi, RF, ZigBee, WiMAX, Zwave, etc. paved way for developers to explore many alternatives to design smart home system. On the other hand, that many options also increases the ways in which security breaches can occur. Hence, maintaining security and integrity of such automation systems to prevent theft has not only become an area of interest but also an area of need. One such method which is hard to circumvent is speech recognition -easily integrated with the home automation system and requiring minimum user interaction. There are advantages and disadvantages to this method like any other and, are addressed in this paper. The sheer range of options available to help secure semi-automated or fully-automated home systems makes it cumbersome to address every point of failure. The following study helps an individual to choose a best fit method that suits his/her requirements based on the home automation system.

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Zigbee Based Voice Controlled Wireless Smart Home System

Cited by 39 publications

References 28 publications

Secured Speech Industrial Automation Based on Raspberry Pi and IoT

Secured Speech Industrial Automation Based on Raspberry Pi and IoT

Study of voice data communication using network streams on dataflow programming

Home Theft Detection using Speech Recognition

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