Control of home appliances using face and hand sign recognition

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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Consumer Statisfaction with Rubber and Home Appliances

Indian Journal Of Applied Research ◽

10.15373/2249555x/feb2013/15 ◽

2011 ◽

Vol 3 (2) ◽

pp. 44-45

Author(s):

A. Joseph Succour Jolly ◽

Keyword(s):

Home Appliances

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Reverse logistic networks optimization of home appliances return based on combined location routing problem

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.02652 ◽

2013 ◽

Vol 32 (9) ◽

pp. 2652-2655

Author(s):

Jun ZHANG

Keyword(s):

Location Routing Problem ◽

Routing Problem ◽

Home Appliances ◽

Location Routing ◽

Reverse Logistic

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CONTROLING AND MONITORING HOME APPLIANCES THROUGH CLOUD USING IoT

10.21506/j.ponte.2018.2.8 ◽

2018 ◽

Vol 74 (2) ◽

Cited By ~ 2

Author(s):

Saranya Vanama ◽

PACHIPALA YELLAMMA ◽

A RAMYA ◽

G.V KALYANI ◽

CHALLA NARASIMHAM

Keyword(s):

Home Appliances

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Technological Aids for Deaf and Mute in Modern World

Recent Patents on Engineering ◽

10.2174/1872212114999201116214802 ◽

2020 ◽

Vol 14 ◽

Author(s):

Vasu Mehra ◽

Dhiraj Pandey ◽

Aayush Rastogi ◽

Aditya Singh ◽

Harsh Preet Singh

Keyword(s):

Sign Language ◽

Gesture Recognition ◽

Recognition System ◽

Modern World ◽

Language Recognition ◽

Sign Language Recognition ◽

Background Elimination ◽

Sign Recognition ◽

Technological Advances ◽

Better Than

Background:: People suffering from hearing and speaking disabilities have a few ways of communicating with other people. One of these is to communicate through the use of sign language. Objective:: Developing a system for sign language recognition becomes essential for deaf as well as a mute person. The recognition system acts as a translator between a disabled and an able person. This eliminates the hindrances in exchange of ideas. Most of the existing systems are very poorly designed with limited support for the needs of their day to day facilities. Methods:: The proposed system embedded with gesture recognition capability has been introduced here which extracts signs from a video sequence and displays them on screen. On the other hand, a speech to text as well as text to speech system is also introduced to further facilitate the grieved people. To get the best out of human computer relationship, the proposed solution consists of various cutting-edge technologies and Machine Learning based sign recognition models which have been trained by using Tensor Flow and Keras library. Result:: The proposed architecture works better than several gesture recognition techniques like background elimination and conversion to HSV because of sharply defined image provided to the model for classification. The results of testing indicate reliable recognition systems with high accuracy that includes most of the essential and necessary features for any deaf and dumb person in his/her day to day tasks. Conclusion:: It’s the need of current technological advances to develop reliable solutions which can be deployed to assist deaf and dumb people to adjust to normal life. Instead of focusing on a standalone technology, a plethora of them have been introduced in this proposed work. Proposed Sign Recognition System is based on feature extraction and classification. The trained model helps in identification of different gestures.

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Muscles

10.1093/oso/9780199674923.003.0020 ◽

2018 ◽

Author(s):

Iain A. Anderson ◽

Benjamin M. O’Brien

Keyword(s):

Sensory Feedback ◽

Artificial Muscles ◽

Combustion Engines ◽

Electric Motors ◽

Home Appliances ◽

Leg Muscles ◽

Mechanical Devices ◽

Control Surfaces

Mechanical devices that include home appliances, automobiles, and airplanes are typically driven by electric motors or combustion engines through gearboxes and other linkages. Airplane wings, for example, have hinged control surfaces such as ailerons. Now imagine a wing that has no hinged control surfaces or linkages but that instead bends or warps to assume an appropriate shape, like the wing of a bird. Such a device could be enabled using an electro-active polymer technology based on electronic artificial muscles. Artificial muscles act directly on a structure, like our leg muscles that are attached by tendon to our bones and that through phased contraction enable us to walk. Sensory feedback from our muscles enables proprioceptive control. So, for artificial muscles to be used appropriately we need to pay attention not only to mechanisms for muscle actuation but also to how we can incorporate self-sensing feedback for the control of position.

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