Pervasive Computing for Home Automation and Telecare

This paper reviews basically about Bluetooth based home automation system. It is controlled by PIC microcontroller. Home automation can be defined as the ability to perform tasks automatically and monitor or change status remotely. These include tasks such as turning off lights in the room, locking doors via smartphone, automate air condition systems and appliances which help in the kitchen. Now a days several wireless devices are available such as Bluetooth, Zigbee and GSM. Since Bluetooth is low in cost than the other two and hence is used more. In this paper we have described the methods of automating different home appliances using Bluetooth and pic microcontroller. Different sensors are involved in this system to advance and make it smarter. Sensors such as temperature sensor, liquid sensors, humidity sensor etc. can be used.

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Android Application Based Real Time Home Automation

Indian Journal Of Applied Research ◽

10.15373/2249555x/july2014/57 ◽

2011 ◽

Vol 4 (7) ◽

pp. 188-190 ◽

Cited By ~ 2

Author(s):

Kallakunta. Ravi Kumar ◽

◽

Shaik Akbar

Keyword(s):

Real Time ◽

Home Automation ◽

Android Application

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DTMF Based Home Automation Without using Microcontroller

International Journal of Scientific Research in Network Security and Communication ◽

10.26438/ijsrnsc/v6i2.14 ◽

2018 ◽

Vol 6 (2) ◽

pp. 1-4 ◽

Cited By ~ 1

Author(s):

P.S.N. Priyanka ◽

◽

J.S.S. Roshitha ◽

K. Sri Navya ◽

N. Priyanka ◽

...

Keyword(s):

Home Automation

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Home Automation Using Arduino Uno

International Journal of Scientific and Research Publications (IJSRP) ◽

10.29322/ijsrp.9.12.2019.p9614 ◽

2019 ◽

Vol 9 (12) ◽

pp. p9614

Author(s):

Adamya kumar

Keyword(s):

Home Automation ◽

Arduino Uno

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Weight-Loss Program Assistance System for Obesity Patients Based on Internet of Things (IoT) Technology

Jurnal ULTIMATICS ◽

10.31937/ti.v8i1.502 ◽

2017 ◽

Vol 8 (1) ◽

Author(s):

I Gusti Bagus Astawa ◽

I Ketut Agung Enriko

Keyword(s):

Weight Loss ◽

Internet Of Things ◽

Mobile Application ◽

Human Life ◽

Weight Loss Program ◽

Internet Technology ◽

Healthcare Sector ◽

Home Automation ◽

Index Terms ◽

Use Of Internet

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation

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Design Of A Voice Controlled Home Automation System Using Deep Learning Convolutional Neural Network (DL-CNN)

Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan ◽

10.34010/telekontran.v8i1.3078 ◽

2020 ◽

Vol 8 (1) ◽

pp. 57-73

Author(s):

Lery Sakti Ramba

Keyword(s):

Deep Learning ◽

Speech Recognition ◽

Background Noise ◽

Electronic Devices ◽

Recognition System ◽

Background Intensity ◽

Automation System ◽

Home Automation ◽

Speech Recognition System ◽

Home Automation System

The purpose of this research is to design home automation system that can be controlled using voice commands. This research was conducted by studying other research related to the topics in this research, discussing with competent parties, designing systems, testing systems, and conducting analyzes based on tests that have been done. In this research voice recognition system was designed using Deep Learning Convolutional Neural Networks (DL-CNN). The CNN model that has been designed will then be trained to recognize several kinds of voice commands. The result of this research is a speech recognition system that can be used to control several electronic devices connected to the system. The speech recognition system in this research has a 100% success rate in room conditions with background intensity of 24dB (silent), 67.67% in room conditions with 42dB background noise intensity, and only 51.67% in room conditions with background intensity noise 52dB (noisy). The percentage of the success of the speech recognition system in this research is strongly influenced by the intensity of background noise in a room. Therefore, to obtain optimal results, the speech recognition system in this research is more suitable for use in rooms with low intensity background noise.

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